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2020 – today

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2024
[j47]
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Ofir Ben-Assuli, Tsipi Heart, Nan Yin, Robert Klempfner, Rema Padman:
On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients. Inf. Syst. Manag. 41(4): 413-431 (2024)
[j46]
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Krishna Pothugunta, Xiao Liu, Anjana Susarla, Rema Padman:
Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube. J. Biomed. Informatics 157: 104669 (2024)
[c79]
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Rema Padman, Jeong-Hin Chin, Abhishek Gupta, Rahul Ladhania:
Examining Gameplay Patterns and their Association with Nutritional Knowledge. CoG 2024: 1-4
[c78]
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Krishna Prasad Pothugunta, Xiao Liu, Anjana Susarla, Rema Padman:
Classifying Actionable Information in Videos using HST-CAT: Hybrid Spatiotemporal Cross-Attention Transformer. ICIS 2024
[i9]
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  - journals/corr/abs-2409-12087
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Yubo Li, Saba Al-Sayouri, Rema Padman:
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques. CoRR abs/2409.12087 (2024)
[i8]
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  - journals/corr/abs-2410-01859
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Yubo Li, Rema Padman:
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach. CoRR abs/2410.01859 (2024)
[i7]
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  - journals/corr/abs-2410-02830
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Yawen Guo, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos. CoRR abs/2410.02830 (2024)
2023
[j45]
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Ofir Ben-Assuli, Tsipi Heart, Robert Klempfner, Rema Padman:
Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction. Decis. Support Syst. 172: 113982 (2023)
[c77]
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Yawen Guo, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos. MedInfo 2023: 760-764
[c76]
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  - conf/medinfo/PadmanVCS023
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Rema Padman, Anirudh Vaidhyaa Venkatasubramanian, Wei Ning Chi, Anthony Solomonides, Nirav Shah:
Continuous Remote Patient Monitoring for Post-Discharge Heart Failure Management: Workflow Modeling Using Discrete Event Simulation. MedInfo 2023: 815-819
[c75]
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Ruoyu Zhang, Jennifer Shin, Kristine Schulz, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Video Analytics for Patient Education: An Exploratory Clustering of Obstructive Sleep Apnea Videos. MedInfo 2023: 1261-1265
[i6]
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  - journals/corr/abs-2312-09425
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Yawen Guo, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Video Analytics for Patient Health Literacy: Evidence from Colonoscopy Preparation Videos. CoRR abs/2312.09425 (2023)
2022
[j44]
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Karmel S. Shehadeh, Rema Padman:
Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities. Comput. Oper. Res. 137: 105523 (2022)
[c74]
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Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Monika Krezalek, Klara Brugger, Emily White Vangompel, Izabella Szum, Melissa Morton-Jost, Urmila Ravichandran, Karen A. Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav Shah:
Transferring Process Knowledge and Protocol Structure in a Continuous Remote Patient Monitoring Program: Heart Failure to Ileostomy Clinical Use Case Study. AMIA 2022
[c73]
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Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Emily White Vangompel, Safwan Gaznabi, Izabella Szum, Melissa Morton-Jost, Urmila Ravichandran, Tovah Klein, Karen A. Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav Shah:
Continuous Remote Patient Monitoring: Evaluation of the Cascade Heart Failure Study Phases 1 and 2. AMIA 2022
[c72]
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Tsipi Heart, Rema Padman, Ofir Ben-Assuli, David Gefen, Robert Klempfner:
On Intelligence Augmentation and Visual Analytics to Enhance Clinical Decision Support Systems. HICSS 2022: 1-10
[c71]
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Rema Padman, Jennifer Grant, Urmila Ravichandran, Ravi Bashyal, Nirav Shah:
Risk Stratification and Prediction of Postoperative Complications Using Temperature Trajectories. HICSS 2022: 1-9
[c70]
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Philipp Burckhardt, Saba Al-Sayouri, Rema Padman:
Data Science for Healthcare via an E-Learning Statistics Platform. ICHI 2022: 564-566
[i5]
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  - journals/corr/abs-2207-07915
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Krishna Pothugunta, Xiao Liu, Anjana Susarla, Rema Padman:
On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach. CoRR abs/2207.07915 (2022)
2021
[j43]
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  - journals/aci/ChiRGSGVDMRLVEH21
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Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Emily White Vangompel, Julie Dayiantis, Melissa Morton-Jost, Urmila Ravichandran, Karen A. Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav S. Shah:
Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch. Appl. Clin. Inform. 12(5): 1161-1173 (2021)
[j42]
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  - journals/eor/ShehadehP21
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Karmel S. Shehadeh, Rema Padman:
A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity. Eur. J. Oper. Res. 290(3): 901-913 (2021)
[c69]
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Yawen Guo, Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Video Analytics for COVID-19 Literacy. AMIA 2021
[c68]
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Xiao Liu, Anjana Susarla, Rema Padman:
YouTube Health Video Analytics: A Human Augmented Understandability Assessment for Patient Education. AMIA 2021
[c67]
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Rema Padman, Sameera Kodi, Urmila Ravichandran, Nirav Shah:
Statistical Modeling of Multiple Vital Sign Trajectories to Assess Risk of Postoperative Complications and Predict Readmission. AMIA 2021
[c66]
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Jinchen Xie, Arman Kilic, Rema Padman:
Risk Stratifying Heart Failure Readmissions of VAD-Eligible Patients Using Laboratory Data. AMIA 2021
2020
[j41]
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  - journals/hij/Ben-AssuliPS20
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Ofir Ben-Assuli, Rema Padman, Itamar Shabtai:
Exploring trajectories of emergency department visits using a laboratory-based indicator of serious illness. Health Informatics J. 26(1) (2020)
[j40]
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  - journals/jamia/ChenTP20
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Min Chen, Xuan Tan, Rema Padman:
Social determinants of health in electronic health records and their impact on analysis and risk prediction: A systematic review. J. Am. Medical Informatics Assoc. 27(11): 1764-1773 (2020)
[j39]
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  - journals/jors/GartnerP20
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Daniel Gartner, Rema Padman:
Flexible hospital-wide elective patient scheduling. J. Oper. Res. Soc. 71(6): 878-892 (2020)
[j38]
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  - journals/jors/GartnerP20a
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Daniel Gartner, Rema Padman:
Machine learning for healthcare behavioural OR: Addressing waiting time perceptions in emergency care. J. Oper. Res. Soc. 71(7): 1087-1101 (2020)
[j37]
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Ofir Ben-Assuli, Rema Padman:
Trajectories of Repeated Readmissions of Chronic Disease Patients: Risk Stratification, Profiling, and Prediction. MIS Q. 44(1) (2020)
[j36]
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Xiao Liu, Bin Zhang, Anjana Susarla, Rema Padman:
Go to You Tube and Call Me in the Morning: Use of Social Media for Chronic Conditions. MIS Q. 44(1) (2020)
[j35]
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  - journals/titb/MovahediKLSKMZP20
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Faezeh Movahedi, Robert L. Kormos, Lisa C. Lohmueller, Laura Seese, Manreet K. Kanwar, Srinivas Murali, Yiye Zhang, Rema Padman, James F. Antaki:
Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant. IEEE J. Biomed. Health Informatics 24(8): 2347-2358 (2020)
[c65]
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  - conf/amia/KamaleswaranLLM20
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Rishikesan Kamaleswaran, Jiaoying Lian, Dong-Lien Lin, Himasagar Molakapuri, Sri Manikanth Nunna, Parth Shah, Shiv Dua, Rema Padman:
Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms. AMIA 2020
[c64]
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  - conf/ichi/BurckhardtGVDP20
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Philipp Burckhardt, Lindsay K. Graff, Divya Venkat, Shiv Dua, Rema Padman:
Informing the Design of e-Learning Lessons on Data Science through Think-Aloud Experiments with Healthcare Professionals. ICHI 2020: 1-7
[c63]
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  - conf/www/WangZZSP20
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Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman:
DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. WWW 2020: 1839-1850
[i4]
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  - journals/corr/abs-2010-16253
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Faezeh Movahedi, Rema Padman, James F. Antaki:
Limitations of ROC on Imbalanced Data: Evaluation of LVAD Mortality Risk Scores. CoRR abs/2010.16253 (2020)

2010 – 2019

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2019
[j34]
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Haijing Hao, Rema Padman, Baohong Sun, Rahul Telang:
Modeling social learning on consumers' long-term usage of a mobile technology: a Bayesian estimation of a Bayesian learning model. Electron. Commer. Res. 19(1): 1-21 (2019)
[j33]
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Yi-Chin Kato-Lin, Rema Padman:
RFID technology-enabled Markov reward process for sequencing care coordination in ambulatory care: A case study. Int. J. Inf. Manag. 48: 12-21 (2019)
[c62]
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Rosie Fleming, Daniel Gartner, Rema Padman, Dafydd James:
An Analytical Approach for Improving Patient-centric Delivery of Dialysis Services. AMIA 2019
[c61]
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Xiao Liu, Bin Zhang, Anjana Susarla, Rema Padman:
YouTube Video Analytics for Patient Self-Care of Chronic Diseases. AMIA 2019
[c60]
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Rema Padman, Ofir Ben-Assuli, Tsipi Heart, Nir Shlomo, Robert Klempfner:
Visual Analytics for Congestive Heart Failure Mortality Prediction. MedInfo 2019: 293-297
2018
[j32]
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Goutham Rao, Katherine Kirley, Paul Epner, Yiye Zhang, Victoria Bauer, Rema Padman, Ying Zhou, Anthony Solomonides:
Identifying, Analyzing, and Visualizing Diagnostic Paths for Patients with Nonspecific Abdominal Pain. Appl. Clin. Inform. 09(04): 905-913 (2018)
[j31]
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Haijing Hao, Rema Padman:
An empirical study of opinion leader effects on mobile technology implementation by physicians in an American community health system. Health Informatics J. 24(3): 323-333 (2018)
[j30]
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Haijing Hao, Rema Padman, Baohong Sun, Rahul Telang:
Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach. Inf. Syst. Res. 29(1): 25-41 (2018)
[c59]
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  - conf/amia/BurckhardtNVP18
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Philipp Burckhardt, Daniel S. Nagin, Vijaya P. Vijayasarathy, Rema Padman:
Multi-Trajectory Modeling to Predict Acute Kidney Injury in Chronic Kidney Disease Patients. AMIA 2018
[c58]
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Rema Padman, Jennifer Grant, Urmila Ravichandran, Michael Turner, Prashanth Raja, Yazhini Mathiyalagan, Ronak Parikh, Ari Robicsek, Nirav Shah:
Statistical Modeling of Temperature Trajectories to Assess Risk of Postoperative Complications. AMIA 2018
[c57]
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  - conf/ichi/LeeCP18
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John Richard Lee, Bilal Chughtai, Rema Padman:
Variable Selection for Chronic Disease Outcome Prediction Using a Causal Inference Technique: A Preliminary Study. ICHI 2018: 136-143
[c56]
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  - conf/ichi/MovahediZPA18
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Faezeh Movahedi, Yiye Zhang, Rema Padman, James F. Antaki:
Mining Temporal Patterns from Sequential Healthcare Data. ICHI 2018: 461-462
[i3]
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  - journals/corr/abs-1807-03179
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Xiao Liu, Bin Zhang, Anjana Susarla, Rema Padman:
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos. CoRR abs/1807.03179 (2018)
[i2]
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  - journals/corr/abs-1810-01570
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Kaung Khin, Philipp Burckhardt, Rema Padman:
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation. CoRR abs/1810.01570 (2018)
[i1]
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  - journals/corr/abs-1811-12227
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Wen Wang, Rema Padman, Nirav Shah:
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy. CoRR abs/1811.12227 (2018)
2017
[c55]
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Philipp Burckhardt, Rema Padman:
deidentify. AMIA 2017
[c54]
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Yiye Zhang, Rema Padman:
On Combining Clinical and Cost Pathways for Multimorbid Patients Using Electronic Health Record Data. CRI 2017
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Daniel Gartner, Rema Padman:
E-HOSPITAL - A Digital Workbench for Hospital Operations and Services Planning Using Information Technology and Algebraic Languages. MedInfo 2017: 84-88
[c52]
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Rema Padman, Disha Gupta, Bhargav Sri Prakash, Chelladurai Krishnan, K. Panchatcharam:
An Exploratory Analysis of Game Telemetry from a Pediatric mHealth Intervention. MedInfo 2017: 183-187
[c51]
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Yiye Zhang, Rema Padman:
An Interactive Platform to Visualize Data-Driven Clinical Pathways for the Management of Multiple Chronic Conditions. MedInfo 2017: 672-676
2016
[j29]
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Idris Adjerid, Alessandro Acquisti, Rahul Telang, Rema Padman, Julia Adler-Milstein:
The Impact of Privacy Regulation and Technology Incentives: The Case of Health Information Exchanges. Manag. Sci. 62(4): 1042-1063 (2016)
[c50]
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Philipp Burckhardt, Daniel S. Nagin, Rema Padman:
Multi-Trajectory Models of Chronic Kidney Disease Progression. AMIA 2016
[c49]
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Malte Ganssauge, Rema Padman, Pradip Teredesai, Ameet Karambelkar:
Exploring Dynamic Risk Prediction for Dialysis Patients. AMIA 2016
[c48]
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Minal A. Singhee, Rema Padman, M. Sriram Iyengar, Daniel Gartner, Robert Monte, Ashley Ketterer, Brianna Scott, Angelo Baiocchi:
Pilot Evaluation of a Mobile Application to Reduce Congestive Heart Failure Readmission: The HealthPal Project. AMIA 2016
[c47]
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Yiye Zhang, Rema Padman:
Data-driven Clinical Pathway Learning and Outcomes Prediction for Chronic Kidney Disease. AMIA 2016
[c46]
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Ofir Ben-Assuli, Rema Padman, Moshe Leshno, Itamar Shabtai:
Analyzing Hospital Readmissions Using Creatinine Results for Patients with Many Visits. EUSPN/ICTH 2016: 357-361
[c45]
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Daniel Gartner, Rema Padman:
Mathematical Modelling and Cluster Analysis in Healthcare Analytics - The Case of Length of Stay Management. ICIS 2016
2015
[j28]
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Yiye Zhang, Rema Padman, Larry A. Wasserman, Nirav Patel, Pradip Teredesai, Qizhi Xie:
On Clinical Pathway Discovery from Electronic Health Record Data. IEEE Intell. Syst. 30(1): 70-75 (2015)
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Daniel Gartner, Rainer Kolisch, Daniel B. Neill, Rema Padman:
Machine Learning Approaches for Early DRG Classification and Resource Allocation. INFORMS J. Comput. 27(4): 718-734 (2015)
[j26]
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Yiye Zhang, Rema Padman, Nirav Patel:
Paving the COWpath: Learning and visualizing clinical pathways from electronic health record data. J. Biomed. Informatics 58: 186-197 (2015)
[c44]
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Yiye Zhang, Rema Padman:
Data Driven Order Set Development Using Metaheuristic Optimization. AIME 2015: 47-56
[c43]
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Philipp Burckhardt, Rema Padman:
Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. AMIA 2015
[c42]
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Yi-Chin Kato-Lin, Rema Padman, Julie S. Downs, Vibhanshu Abhishek:
Evaluating Consumer m-Health Services for Promoting Healthy Eating: A Randomized Field Experiment. AMIA 2015
[c41]
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Ahmad Mohawish, Ragini Rathi, Vibhanshu Abhishek, Thomas Lauritzen, Rema Padman:
Predicting Coronary Heart Disease risk using health risk assessment data. HealthCom 2015: 91-96
[c40]
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Daniel Gartner, Yiye Zhang, Rema Padman:
Workload Reduction Through Usability Improvement of Hospital Information Systems - The Case of Order Set Optimization. ICIS 2015
[c39]
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Daniel Gartner, Rema Padman:
Improving Hospital-Wide Early Resource Allocation through Machine Learning. MedInfo 2015: 315-319
[c38]
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Ofir Ben-Assuli, Rema Padman, Martha Bowman, Moshe Leshno, Itamar Shabtai:
On Analyzing Readmissions Using A Trajectory Model: Evidence From Israel. MedInfo 2015: 1063
[c37]
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Thankam P. Thyvalikakath, Rema Padman, Karnali Vyawahare, Pratiksha Darade, Rhucha Paranjape:
Utilizing Dental Electronic Health Records Data to Predict Risk for Periodontal Disease. MedInfo 2015: 1081
2014
[j25]
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Michael P. Johnson, Kai Zheng, Rema Padman:
Modeling the longitudinality of user acceptance of technology with an evidence-adaptive clinical decision support system. Decis. Support Syst. 57: 444-453 (2014)
[j24]
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Yi-Chin Kato-Lin, Lakshmanan Krishnamurti, Rema Padman, Howard J. Seltman:
Does e-pain plan improve management of sickle cell disease associated vaso-occlusive pain crisis? A mixed methods evaluation. Int. J. Medical Informatics 83(11): 814-824 (2014)
[j23]
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Changmi Jung, Rema Padman:
Virtualized healthcare delivery: Understanding users and their usage patterns of online medical consultations. Int. J. Medical Informatics 83(12): 901-914 (2014)
[j22]
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Sinjini Mitra, Rema Padman:
Engagement with Social Media Platforms via Mobile Apps for Improving Quality of Personal Health Management: A Healthcare Analytics Case Study. J. Cases Inf. Technol. 16(1): 73-89 (2014)
[c36]
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Yiye Zhang, Rema Padman, Larry A. Wasserman:
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney Disease. AMIA 2014
[c35]
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Haijing Hao, Rema Padman, Baohong Sun, Rahul Telang:
Examining the Social Influence on Information Technology Sustained Use in a Community Health System: A Hierarchical Bayesian Learning Method Analysis. HICSS 2014: 2751-2758
2013
[j21]
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Xue Bai, Ramayya Krishnan, Rema Padman, Harry Jiannan Wang:
On Risk Management with Information Flows in Business Processes. Inf. Syst. Res. 24(3): 731-749 (2013)
[c34]
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Changmi Jung, Rema Padman, Linda Argote:
Volume Based Learning in Structured eVisits: Impact of Individual and Organizational Experience on Service Efficiency. AMIA 2013
[c33]
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Yiye Zhang, James E. Levin, Rema Padman:
Toward Order Set Optimization Using Click Cost Criteria in the Pediatric Environment. HICSS 2013: 2575-2584
[c32]
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Rema Padman, Sravani Jaladi, Sean Kim, Saumitra Kumar, Philip Orbeta, Kate Rudolph, Tony Tran:
An Evaluation Framework and A Pilot Study of a Mobile Platform for Diabetes Self-Management: Insights from Pediatric Users. MedInfo 2013: 333-337
[c31]
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Yiye Zhang, Rema Padman, James E. Levin:
Reducing Provider Cognitive Workload in CPOE Use: Optimizing Order Sets. MedInfo 2013: 734-738
[c30]
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Yi-Chin Lin, Rema Padman:
Process Visibility Analysis in Ambulatory Care: A Simulation Study with RFID Data. MedInfo 2013: 768-772
[c29]
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Divya Krishnan, Rema Padman:
On Behavioral Decision Making and Mobile Health: A Case Study. MedInfo 2013: 837-840
[c28]
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Gillian Crofts, Rema Padman, Nisha Maharaja:
Toward Image Analysis and Decision Support for Ultrasound Technology. MedInfo 2013: 1088
[c27]
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Thankam P. Thyvalikakath, Rema Padman, Sugandh Gupta:
An Integrated Risk Assessment Tool for Team-based Periodontal Disease Management. MedInfo 2013: 1150
[c26]
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Rema Padman, Erika Beam, Rachel Szewczyk:
Preliminary Evaluations of a Spoken Web Enabled Care Management Platform. MedInfo 2013: 1204
[c25]
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Haijing Hao, Rema Padman, Rahul Telang:
Physician's Usage Of Mobile Clinical Applications In A Community Hospital: A Longitudinal Analysis Of Adoption Behavior. UKAIS 2013: 11
[c24]
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Rema Padman, Erika Beam, Rachel Szewczyk, Arun Kumar:
Engineering And Pilot Proxy Evaluation Of A Spoken Web Enabled Care Management Platform. UKAIS 2013: 29
2012
[j20]
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Christopher A. Harle, Daniel B. Neill, Rema Padman:
Information Visualization for Chronic Disease Risk Assessment. IEEE Intell. Syst. 27(6): 81-85 (2012)
[j19]
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Sinjini Mitra, Rema Padman:
Exploring Social Media for Health and Wellness: A Health Plan Case Study. J. Cases Inf. Technol. 14(2): 42-64 (2012)
[j18]
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Sinjini Mitra, Rema Padman:
Privacy and Security Concerns in Adopting Social Media for Personal Health Management: A Health Plan Case Study. J. Cases Inf. Technol. 14(4): 12-26 (2012)
[c23]
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Yi-Chin Lin, Rema Padman, Lakshmanan Krishnamurti:
Impact of Digitization of Sickle Cell Disease Individual Pain Plan on Process Outcomes and Care Coordination: A Retrospective Analysis in Pediatrics. AMIA 2012
[c22]
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Rema Padman, Erika Beam, Rachel Szewczyk, Arun Kumar, Amit Anil Nanavati, Pawan Khera:
EHR Usability: Experiments in the Voice World with a Spoken Web enabled Care Management Platform (SW-CMP). AMIA 2012
[c21]
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Tony Tran, Kate Rudolph, Philip Orbeta, Sravani Jaladi, Sean Kim, Saumitra Kumar, Rema Padman:
Evaluation of a Mobile Diabetes Self-Management Platform: A Pilot Case Study with Pediatric Users. AMIA 2012
[c20]
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Yiye Zhang, James E. Levin, Rema Padman:
Data-driven Order Set Generation and Evaluation in the Pediatric Environment. AMIA 2012
2011
[j17]
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Sharique Hasan, George T. Duncan, Daniel B. Neill, Rema Padman:
Automatic detection of omissions in medication lists. J. Am. Medical Informatics Assoc. 18(4): 449-458 (2011)
[j16]
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Kai Zheng, David A. Hanauer, Rema Padman, Michael P. Johnson, Anwar A. Hussain, Wen Ye, Xiaomu Zhou, Herbert S. Diamond:
Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system. J. Am. Medical Informatics Assoc. 18(6): 883-889 (2011)
[j15]
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Stephen F. Roehrig, Rema Padman, Ramayya Krishnan, George T. Duncan:
Exact and heuristic methods for cell suppression in multi-dimensional linked tables. J. Oper. Res. Soc. 62(2): 291-304 (2011)
[c19]
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Idris Adjerid, Alessandro Acquisti, Rema Padman, Rahul Telang, Julia Adler-Milstein:
Health Disclosure Laws and Health Information Exchanges. WEIS 2011
2010
[j14]
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Kai Zheng, Rema Padman, David Krackhardt, Michael P. Johnson, Herbert S. Diamond:
Social networks and physician adoption of electronic health records: insights from an empirical study. J. Am. Medical Informatics Assoc. 17(3): 328-336 (2010)
[c18]
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Rema Padman, Grant Shevchik, Suzanne Paone, Carl Dolezal, Jody Cervenak:
eVisit: A Pilot Study of a New Kind of Healthcare Delivery. MedInfo 2010: 262-266

2000 – 2009

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

2009
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Kai Zheng, Rema Padman, Michael P. Johnson, Herbert S. Diamond:
Research Article: An Interface-driven Analysis of User Interactions with an Electronic Health Records System. J. Am. Medical Informatics Assoc. 16(2): 228-237 (2009)
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Christopher A. Harle, Rema Padman, Julie S. Downs:
Design, Implementation, and Preliminary Evaluation of a Web-Based Health Risk Calculator. HICSS 2009: 1-10
2008
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Xue Bai, Rema Padman, Joseph D. Ramsey, Peter Spirtes:
Tabu Search-Enhanced Graphical Models for Classification in High Dimensions. INFORMS J. Comput. 20(3): 423-437 (2008)
[c16]
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Christopher A. Harle, Rema Padman, Julie S. Downs:
The Impact Of Web-Based Diabetes Risk Calculators On Information Processing and Risk Perceptions. AMIA 2008
[c15]
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Sharique Hasan, George T. Duncan, Daniel B. Neill, Rema Padman:
Towards a Collaborative Filtering Approach to Medication Reconciliation. AMIA 2008
2007
[c14]
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Xue Bai, Rema Padman, Ramayya Krishnan:
A Risk Management Approach to Business Process Design. ICIS 2007: 28
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Rema Padman, Xue Bai, Edoardo M. Airoldi:
A New Machine Learning Classifier for High Dimensional Healthcare Data. MedInfo 2007: 664-668
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Kai Zheng, Rema Padman, Michael P. Johnson:
User Interface Optimization for an Electronic Medical Record System. MedInfo 2007: 1058-1062
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Kai Zheng, Rema Padman, Michael P. Johnson, Herbert S. Diamond:
Evaluation of Healthcare IT Applications: The User Acceptance Perspective. Advanced Computational Intelligence Paradigms in Healthcare - 2 2007: 49-78
2006
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Rema Padman, Dan Zhu:
Knowledge integration using problem spaces: A study in resource-constrained project scheduling. J. Sched. 9(2): 133-152 (2006)
[c11]
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Sharique Hasan, Rema Padman:
Analyzing the Effect of Data Quality on the Accuracy of Clinical Decision Support Systems: A Computer Simulation Approach. AMIA 2006
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Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, George T. Duncan, Rema Padman:
Incremental hierarchical clustering of text documents. CIKM 2006: 357-366
2005
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Kai Zheng, Rema Padman, Michael P. Johnson, Herbert S. Diamond:
Understanding technology adoption in clinical care: Clinician adoption behavior of a point-of-care reminder system. Int. J. Medical Informatics 74(7-8): 535-543 (2005)
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Ramayya Krishnan, James Peters, Rema Padman, David Kaplan:
On Data Reliability Assessment in Accounting Information Systems. Inf. Syst. Res. 16(3): 307-326 (2005)
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Xue Bai, Rema Padman, Edoardo M. Airoldi:
On Learning Parsimonious Models for Extracting Consumer Opinions. HICSS 2005
2004
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Claus Boyens, Ramayya Krishnan, Rema Padman:
On Privacy-Preserving Access to Distributed Heterogeneous Healthcare Information. HICSS 2004
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Edoardo M. Airoldi, Xue Bai, Rema Padman:
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts. WebKDD 2004: 167-187
[c6]
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Kai Zheng, Rema Padman, Michael P. Johnson, John Engberg, Herbert S. Diamond:
An Adoption Study of a Clinical Reminder System in Ambulatory Care Using A Developmental Trajectory Approach. MedInfo 2004: 1115-1119
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Claus Boyens, Ramayya Krishnan, Rema Padman:
Privacy-Preserving Data Releases for Health Report Generation. MedInfo 2004: 1268-1272
2001
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Nalini Dayanand, Rema Padman:
A Two Stage Search Heuristic for Scheduling Payments in Projects. Ann. Oper. Res. 102(1-4): 197-220 (2001)
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Nalini Dayanand, Rema Padman:
Project Contracts and Payment Schedules: The Client's Problem. Manag. Sci. 47(12): 1654-1667 (2001)
2000
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Ashish Arora, Gregory Cooper, Ramayya Krishnan, Rema Padman:
IBIZA: E-market Infrastructure for Custom-built Information Products. Inf. Syst. Frontiers 2(1): 65-84 (2000)

1990 – 1999

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1998
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David Kaplan, Ramayya Krishnan, Rema Padman, James Peters:
Assessing Data Quality in Accouting Information Systems. Commun. ACM 41(2): 72-78 (1998)
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Stephen F. Roehrig, George T. Duncan, Ramayya Krishnan, Rema Padman:
Inference of Three-Way Table Entries from Two-Dimensional Projections. HICSS (6) 1998: 204-212
1997
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Dan Zhu, Rema Padman:
Connectionist approaches for solver selection in constrained project scheduling. Ann. Oper. Res. 72: 265-298 (1997)
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George T. Duncan, Ramayya Krishnan, Rema Padman:
Cell Suppression to Limit Content-Based Disclosure. HICSS (3) 1997: 552-560
[c2]
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Rema Padman, Melissa Tzourakis:
Quality Metrics for Healthcare Data: An Analytical Approach. IQ 1997: 19-36
1993
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Murali S. Shanker, W. David Kelton, Rema Padman:
Measuring Congestion for Dynamic Task Allocation in Distributed Simulation. INFORMS J. Comput. 5(1): 54-68 (1993)
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Jonathan P. Caulkins, Rema Padman:
Interdiction's impact on the structure and behavior of the export-import sector for illicit drugs. ZOR Methods Model. Oper. Res. 37(2): 207-224 (1993)

1980 – 1989

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1989
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Agha Iqbal Ali, Rema Padman, Hemalatha Thiagarajan:
Dual Algorithms for Pure Network Problems. Oper. Res. 37(1): 159-171 (1989)
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Murali S. Shanker, W. David Kelton, Rema Padman:
Adaptive distribution of model components via congestion measures. WSC 1989: 640-647

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