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2024
[j50]
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Nicholas J. Dobbins, Michele Morris, Eugene Sadhu, Douglas MacFadden, Marc-Danie Nazaire, William Simons, Griffin M. Weber, Shawn N. Murphy, Shyam Visweswaran:
Towards cross-application model-agnostic federated cohort discovery. J. Am. Medical Informatics Assoc. 31(10): 2202-2209 (2024)
[j49]
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Sonish Sivarajkumar, Thomas Yu Chow Tam, Haneef Ahamed Mohammad, Samuel Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang:
Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. J. Am. Medical Informatics Assoc. 31(10): 2217-2227 (2024)
[j48]
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Shyam Visweswaran, Yuan Luo, Mor Peleg:
Fairness and inclusion methods for biomedical informatics research. J. Biomed. Informatics 158: 104713 (2024)
[j47]
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Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang:
Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. 8(2): 313-352 (2024)
[j46]
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Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang:
A framework for human evaluation of large language models in healthcare derived from literature review. npj Digit. Medicine 7(1) (2024)
[j45]
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Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich:
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. IEEE Trans. Medical Imaging 43(10): 3648-3660 (2024)
[c48]
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David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang:
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. ICHI 2024: 694-702
[c47]
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  - conf/miccai/GhoshPVB24
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Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich:
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. MICCAI (12) 2024: 632-642
[i17]
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  - journals/corr/abs-2401-11120
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David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang:
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR abs/2401.11120 (2024)
[i16]
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  - journals/corr/abs-2405-02559
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Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang:
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR abs/2405.02559 (2024)
[i15]
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  - journals/corr/abs-2405-05993
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Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang:
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. CoRR abs/2405.05993 (2024)
[i14]
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  - journals/corr/abs-2405-12255
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Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich:
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. CoRR abs/2405.12255 (2024)
[i13]
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  - journals/corr/abs-2410-05180
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Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang:
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models. CoRR abs/2410.05180 (2024)
2023
[j44]
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  - journals/artmed/AndrewsWVLPC23
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Bryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper:
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. Artif. Intell. Medicine 139: 102546 (2023)
[j43]
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David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics 177: 105144 (2023)
[j42]
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  - journals/jamia/KlannHMEWVM23
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Jeffrey G. Klann, Darren W. Henderson, Michele Morris, Hossein Estiri, Griffin M. Weber, Shyam Visweswaran, Shawn N. Murphy:
A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J. Am. Medical Informatics Assoc. 30(12): 1985-1994 (2023)
[j41]
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  - journals/jbi/TanGHSGLDMHMBYCDZAABCHCLLMHOPSSATVW23
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Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023)
[j40]
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Shyam Visweswaran, Yuan Luo, Mor Peleg:
Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives. J. Biomed. Informatics 141: 104348 (2023)
[c46]
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  - conf/medinfo/MinaEBTBV23
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Amir I. Mina, Jeremy U. Espino, Allison M. Bradley, Parthasarathy Thirumala, Kayhan Batmanghelich, Shyam Visweswaran:
Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection. MedInfo 2023: 274-278
[i12]
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  - journals/corr/abs-2303-13466
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Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang:
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR abs/2303.13466 (2023)
[i11]
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  - journals/corr/abs-2304-05929
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David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR abs/2304.05929 (2023)
[i10]
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  - journals/corr/abs-2309-08008
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Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang:
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR abs/2309.08008 (2023)
[i9]
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  - journals/corr/abs-2310-03559
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Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich:
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. CoRR abs/2310.03559 (2023)
2022
[j39]
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  - journals/jamia/MurphyVBCKML22
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Shawn N. Murphy, Shyam Visweswaran, Michael J. Becich, Thomas R. Campion Jr., Boyd M. Knosp, Genevieve Melton-Meaux, Leslie A. Lenert:
Research data warehouse best practices: catalyzing national data sharing through informatics innovation. J. Am. Medical Informatics Assoc. 29(4): 581-584 (2022)
[j38]
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Shyam Visweswaran, Brian McLay, Nickie Cappella, Michele Morris, John T. Milnes, Steven E. Reis, Jonathan C. Silverstein, Michael J. Becich:
An atomic approach to the design and implementation of a research data warehouse. J. Am. Medical Informatics Assoc. 29(4): 601-608 (2022)
[j37]
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  - journals/jamia/PfaffGGKMPLABBG22
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Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai:
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29(4): 609-618 (2022)
[j36]
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Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022)
[j35]
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Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022)
[c45]
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Christopher A. Harle, Daniella Meeker, Shyam Visweswaran, Thomas R. Campion Jr., Boyd M. Knosp:
Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions. AMIA 2022
[c44]
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Chenyu Li, Israel Dilan-Pantojas, Shyam Visweswaran, Michael J. Becich, Xia Jiang, Richard D. Boyce:
Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. AMIA 2022
[i8]
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  - journals/corr/abs-2204-09601
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Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang:
Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. CoRR abs/2204.09601 (2022)
[i7]
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  - journals/corr/abs-2208-06361
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Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR abs/2208.06361 (2022)
2021
[j34]
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  - journals/aci/HillVNS21
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Jordan R. Hill, Shyam Visweswaran, Xia Ning, Titus K. Schleyer:
Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review. Appl. Clin. Inform. 12(3): 417-428 (2021)
[j33]
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  - journals/jamia/HaendelCBEGKPPR21
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Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing:
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28(3): 427-443 (2021)
[j32]
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  - journals/jamia/WalkerNV21
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Lorne W. Walker, Andrew J. Nowalk, Shyam Visweswaran:
Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection. J. Am. Medical Informatics Assoc. 28(4): 862-867 (2021)
[j31]
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Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28(7): 1411-1420 (2021)
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Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran:
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. 21(1): 158 (2021)
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Mohammadamin Tajgardoon, Shyam Visweswaran:
Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models. AIME 2021: 135-145
[c42]
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Eddie Pérez Claudio, Shyam Visweswaran, Harry Hochheiser:
Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia. AMIA 2021
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Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
Patient-Specific Modeling with Lazy Random Forest (LazyRF). AMIA 2021
[c40]
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Eric V. Strobl, Shyam Visweswaran:
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CD@KDD 2021: 78-125
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Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. MedInfo 2021: 248-252
2020
[j29]
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Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl. Clin. Inform. 11(04): 680-691 (2020)
[j28]
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Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. 60(12): 5647-5657 (2020)
[c38]
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Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
Patient-Specific Modeling with Personalized Decision Paths. AMIA 2020
[i6]
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Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR abs/2006.00986 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j27]
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Gaurav Trivedi, Esmaeel R. Dadashzadeh, Robert M. Handzel, Wendy W. Chapman, Shyam Visweswaran, Harry Hochheiser:
Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports. Appl. Clin. Inform. 10(04): 655-669 (2019)
[j26]
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Jessica D. Tenenbaum, Krithika Bhuvaneshwar, Jane P. Gagliardi, Kate Fultz Hollis, Peilin Jia, Liang Ma, Radhakrishnan Nagarajan, Gopalkumar Rakesh, Vignesh Subbian, Shyam Visweswaran, Zhongming Zhao, Leon Rozenblit:
Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings Bioinform. 20(3): 842-856 (2019)
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Gaurav Trivedi, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran:
Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. Int. J. Medical Informatics 129: 81-87 (2019)
[j24]
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Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran:
Using machine learning to selectively highlight patient information. J. Biomed. Informatics 100 (2019)
[j23]
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Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran:
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. ACM Trans. Intell. Syst. Technol. 10(5): 46:1-46:37 (2019)
[c37]
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Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton:
Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA 2019
[c36]
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Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper:
Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. AMIA 2019
[c35]
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Karthik Natarajan, Robert J. Carroll, Thomas R. Campion Jr., Joan Grand, Shyam Visweswaran:
Curating EHR data in the All of Us Research Program. AMIA 2019
[c34]
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Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper:
An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. BIBM 2019: 2582-2585
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Eric V. Strobl, Shyam Visweswaran:
Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures. Cause Effect Pairs in Machine Learning 2019: 359-372
[i5]
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Eric V. Strobl, Shyam Visweswaran:
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CoRR abs/1905.10330 (2019)
2018
[j22]
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Eric V. Strobl, Shyam Visweswaran, Peter L. Spirtes:
Fast causal inference with non-random missingness by test-wise deletion. Int. J. Data Sci. Anal. 6(1): 47-62 (2018)
[c33]
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Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran:
Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine. AMIA 2018
[c32]
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Charles D. Borromeo, Bill Shirey, Nickie Cappella, Shyam Visweswaran, Jonathan C. Silverstein, Michael J. Becich:
Software Package to Load Data from REDCap to PCORnet CDM 4.0. AMIA 2018
[c31]
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Charles D. Borromeo, Bill Shirey, Michele Morris, Yu Zhang, Malarkodi J. Samayamuthu, Shyam Visweswaran:
Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT. AMIA 2018
[c30]
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Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. AMIA 2018
[c29]
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Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran:
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA 2018
[c28]
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José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui:
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA 2018
[c27]
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Yu Zhang, Michele Morris, Shyam Visweswaran:
A Computable Phenotype Library Plugin for i2b2. AMIA 2018
[c26]
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  - conf/ichi/TrivediHVCH18
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Gaurav Trivedi, Robert M. Handzel, Shyam Visweswaran, Wendy W. Chapman, Harry Hochheiser:
An Interactive NLP Tool for Signout Note Preparation. ICHI 2018: 426-428
[c25]
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Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper:
Instance-Specific Bayesian Network Structure Learning. PGM 2018: 169-180
2017
[j21]
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Adam Culbertson, Satyender Goel, Margaret B. Madden, Niloufar Safaeinili, Kathryn L. Jackson, Thomas Carton, Russ Waitman, Mei Liu, Ashok Krishnamurthy, Lauren Hall, Nickie Cappella, Shyam Visweswaran, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho:
The Building Blocks of Inter-operability. Appl. Clin. Inform. 08(02): 322-336 (2017)
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Jonathan L. Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan:
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data 2(1): 5 (2017)
[j19]
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Sergio M. Castro, Eugene Tseytlin, Olga Medvedeva, Kevin J. Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S. Jacobson:
Automated annotation and classification of BI-RADS assessment from radiology reports. J. Biomed. Informatics 69: 177-187 (2017)
[c24]
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Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler:
Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine. AMIA 2017
[c23]
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Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. AMIA 2017
[c22]
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Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper:
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. CRI 2017
2016
[j18]
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Jessica D. Tenenbaum, Paul Avillach, Marge M. Benham-Hutchins, Matthew K. Breitenstein, Erin L. Crowgey, Mark A. Hoffman, Xia Jiang, Subha Madhavan, John E. Mattison, Radhakrishnan Nagarajan, Bisakha Ray, Dmitriy Shin, Shyam Visweswaran, Zhongming Zhao, Robert R. Freimuth:
An informatics research agenda to support precision medicine: seven key areas. J. Am. Medical Informatics Assoc. 23(4): 791-795 (2016)
[j17]
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Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont:
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64: 211-221 (2016)
2015
[j16]
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Henry Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan:
Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. 16: 226:1-226:15 (2015)
[j15]
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Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang (Rich) Tsui:
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. J. Biomed. Informatics 58: 60-69 (2015)
[c21]
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Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran:
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. AMIA 2015
[c20]
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Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper:
Patient-Specific Modeling of Medical Data. MLDM 2015: 415-424
2014
[j14]
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Charalampos S. Floudas, Nara Um, M. Kamboh, M. Michael Barmada, Shyam Visweswaran:
Identifying genetic interactions associated with late-onset Alzheimer's disease. BioData Min. 7: 35 (2014)
[j13]
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Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan:
Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. 4: 13 (2014)
[i4]
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Eric V. Strobl, Shyam Visweswaran:
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures. CoRR abs/1402.0108 (2014)
[i3]
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Shyam Visweswaran, Gregory F. Cooper:
Counting Markov Blanket Structures. CoRR abs/1407.2483 (2014)
[i2]
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Eric V. Strobl, Shyam Visweswaran:
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data. CoRR abs/1407.7566 (2014)
2013
[j12]
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Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Outlier detection for patient monitoring and alerting. J. Biomed. Informatics 46(1): 47-55 (2013)
[c19]
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Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) 2013
[c18]
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Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran:
Decision Path Models for Patient-Specific Modeling of Patient Outcomes. AMIA 2013
[c17]
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Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Data-driven identification of unusual clinical actions in the ICU. AMIA 2013
[c16]
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Eric V. Strobl, Shyam Visweswaran:
Deep Multiple Kernel Learning. ICMLA (1) 2013: 414-417
[i1]
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Eric V. Strobl, Shyam Visweswaran:
Deep Multiple Kernel Learning. CoRR abs/1310.3101 (2013)
2012
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Matthew E. Stokes, Shyam Visweswaran:
Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease. BioData Min. 5: 20 (2012)
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Suresh K. Bhavnani, Gowtham Bellala, Sundar Victor, Kevin E. Bassler, Shyam Visweswaran:
The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers. J. Am. Medical Informatics Assoc. 19(e1) (2012)
[j9]
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Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman:
Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics 45(1): 71-81 (2012)
[c15]
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Matthew E. Stokes, Shyam Visweswaran:
Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets. AMIA 2012
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Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper:
A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800
2011
[j8]
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Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran:
Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. 12: 89 (2011)
[j7]
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Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper:
Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. 12: 309 (2011)
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  - journals/ijmi/Kane-GillVSWPH11
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Sandra L. Kane-Gill, Shyam Visweswaran, Melissa I. Saul, An-Kwok Ian Wong, Louis E. Penrod, Steven M. Handler:
Computerized detection of adverse drug reactions in the medical intensive care unit. Int. J. Medical Informatics 80(8): 570-578 (2011)
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Wei Wei, Shyam Visweswaran, Gregory F. Cooper:
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. J. Am. Medical Informatics Assoc. 18(4): 370-375 (2011)
2010
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Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper:
Bayesian rule learning for biomedical data mining. Bioinform. 26(5): 668-675 (2010)
[j3]
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Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa A. Weissfeld, Donald Yealy, Gregory F. Cooper:
Learning patient-specific predictive models from clinical data. J. Biomed. Informatics 43(5): 669-685 (2010)
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Shyam Visweswaran, Gregory F. Cooper:
Learning Instance-Specific Predictive Models. J. Mach. Learn. Res. 11: 3333-3369 (2010)

2000 – 2009

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2009
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Jonathan L. Lustgarten, Shyam Visweswaran, Robert P. Bowser, William R. Hogan, Vanathi Gopalakrishnan:
Knowledge-based variable selection for learning rules from proteomic data. BMC Bioinform. 10(S-9): 16 (2009)
[c13]
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Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran:
Measuring Stability of Feature Selection in Biomedical Datasets. AMIA 2009
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Shyam Visweswaran, An-Kwok Ian Wong, M. Michael Barmada:
A Bayesian Method for Identifying Genetic Interactions. AMIA 2009
[c11]
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Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht:
Document Retrieval using a Probabilistic Knowledge Model. KDIR 2009: 26-33
2008
[c10]
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Steven M. Handler, Joseph T. Hanlon, Subashan Perera, Melissa I. Saul, Douglas B. Fridsma, Shyam Visweswaran, Stephanie A. Studenski, Yazan F. Roumani, Nicholas G. Castle, David A. Nace, Michael J. Becich:
Assessing the Performance Characteristics of Signals Used by a Clinical Event Monitor to Detect Adverse Drug Reactions in the Nursing Home. AMIA 2008
[c9]
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Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, Shyam Visweswaran:
Improving Classification Performance with Discretization on Biomedical Datasets. AMIA 2008
[c8]
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Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman:
Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. AMIA 2008
[c7]
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Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan:
Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC 2008: 56-63
[c6]
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Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan:
An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP 2008: 527-532
2007
[c5]
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Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper:
Evidence-based Anomaly Detection in Clinical Domains. AMIA 2007
2005
[c4]
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Gregory F. Cooper, Shyam Visweswaran:
Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. AMIA 2005
[c3]
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Shyam Visweswaran, Gregory F. Cooper:
Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. AMIA 2005
2004
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Shyam Visweswaran, Gregory F. Cooper:
Instance-Specific Bayesian Model Averaging for Classification. NIPS 2004: 1449-1456
2003
[c1]
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Shyam Visweswaran, Paul Hanbury, Melissa I. Saul, Gregory F. Cooper:
Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. AMIA 2003

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