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Azra Bihorac
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2020 – today
- 2024
- [j12]Subhash Nerella, Sabyasachi Bandyopadhyay
, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi:
Transformers and large language models in healthcare: A review. Artif. Intell. Medicine 154: 102900 (2024) - [j11]Jeremy A. Balch, A. Hayes Chatham, Philip K. W. Hong, Lauren Manganiello, Naveen Baskaran, Azra Bihorac, Benjamin Shickel, Ray E. Moseley, Tyler J. Loftus:
Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor. Frontiers Artif. Intell. 7 (2024) - [i39]Esra Adiyeke, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Ziyuan Guan, Sandra L. Kane-Gill, Raghavan Murugan, Nabihah Amatullah, Britney A. Stottlemyer, Tiffany L. Tran, Dan Ricketts, Christopher M. Horvat, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti:
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study. CoRR abs/2402.04209 (2024) - [i38]Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel:
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. CoRR abs/2403.04012 (2024) - [i37]Scott Siegel, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Subhash Nerella, Brandon Silva, Tezcan Baslanti, Azra Bihorac, Parisa Rashidi:
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility. CoRR abs/2403.06322 (2024) - [i36]Brandon Silva, Miguel Contreras, Sabyasachi Bandyopadhyay, Yuanfang Ren, Ziyuan Guan, Jeremy A. Balch, Kia Khezeli, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Azra Bihorac, Parisa Rashidi:
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models. CoRR abs/2403.07201 (2024) - [i35]Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Federated learning model for predicting major postoperative complications. CoRR abs/2404.06641 (2024) - [i34]Yingbo Ma, Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel:
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. CoRR abs/2404.06723 (2024) - [i33]Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan, Ruilin Zhu, Victoria Hougha, Yingbo Ma, Zhenhong Hu, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. CoRR abs/2404.16064 (2024) - [i32]Yingbo Ma, Yukyeong Song, Jeremy A. Balch, Yuanfang Ren, Divya Vellanki, Zhenhong Hu, Meghan Brennan, Suraj Kolla, Ziyuan Guan, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Tyler J. Loftus, Azra Bihorac, Benjamin Shickel:
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. CoRR abs/2407.18939 (2024) - [i31]Miguel Contreras, Sumit Kapoor, Jiaqing Zhang, Andrea Davidson, Yuanfang Ren, Ziyuan Guan, Tezcan Ozrazgat-Baslanti, Subhash Nerella, Azra Bihorac, Parisa Rashidi:
DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR. CoRR abs/2410.17363 (2024) - 2023
- [c13]Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. BHI 2023: 1-5 - [c12]Jessica Sena, Sabyasachi Bandyopadhyay
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. BIBM 2023: 2207-2212 - [i30]Yuanfang Ren, Tyler J. Loftus
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR abs/2303.05504 (2023) - [i29]Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis. CoRR abs/2303.06071 (2023) - [i28]Subhash Nerella, Ziyuan Guan, Scott Siegel, Jiaqing Zhang, Kia Khezeli, Azra Bihorac
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing. CoRR abs/2303.06252 (2023) - [i27]Sabyasachi Bandyopadhyay, Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella, Jiaqing Zhang, Kia Khezeli, Brooke Armfield, Azra Bihorac
Predicting risk of delirium from ambient noise and light information in the ICU. CoRR abs/2303.06253 (2023) - [i26]Brandon Silva, Miguel Contreras, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Kia Khezeli, Azra Bihorac
Transformer Models for Acute Brain Dysfunction Prediction. CoRR abs/2303.07305 (2023) - [i25]Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac
Transformers in Healthcare: A Survey. CoRR abs/2307.00067 (2023) - [i24]Yuanfang Ren, Yanjun Li
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR abs/2307.15719 (2023) - [i23]Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. CoRR abs/2311.00565 (2023) - [i22]Miguel Contreras, Brandon Silva, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Sabyasachi Bandyopadhyay, Kia Khezeli, Azra Bihorac, Parisa Rashidi:
APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies. CoRR abs/2311.02026 (2023) - [i21]Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). CoRR abs/2311.02251 (2023) - 2022
- [j10]Meserret Karaca
Frequent pattern mining from multivariate time series data. Expert Syst. Appl. 194: 116435 (2022) - [j9]Anis Davoudi
Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. Frontiers Digit. Health 4: 773387 (2022) - [j8]Amanda C. Filiberto
Personalized decision-making for acute cholecystitis: Understanding surgeon judgment. Frontiers Digit. Health 4 (2022) - [j7]Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health 4 (2022) - [j6]Tyler J. Loftus
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022) - [i20]Subhash Nerella, Kia Khezeli, Andrea Davidson, Patrick James Tighe, Azra Bihorac
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. CoRR abs/2211.06570 (2022) - 2021
- [j5]Benjamin Shickel, Anis Davoudi
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. Frontiers Digit. Health 3: 640685 (2021) - [c11]Subhash Nerella, Julie Cupka, Matthew Ruppert
Pain Action Unit Detection in Critically Ill Patients. COMPSAC 2021: 645-651 - [i19]Anis Davoudi, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Posture Recognition in the Critical Care Settings using Wearable Devices. CoRR abs/2110.02768 (2021) - [i18]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR abs/2111.05431 (2021) - 2020
- [j4]Florenc Demrozi
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 8: 210816-210836 (2020) - [c10]Florenc Demrozi
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. EMBC 2020: 4534-4538 - [c9]Vasundhra Iyengar, Azra Bihorac
Automated Detection of Rest Disruptions in Critically Ill Patients. EMBC 2020: 5450-5454 - [c8]Anis Davoudi
Pain and Physical Activity Association in Critically Ill Patients*. EMBC 2020: 5696-5699 - [i17]Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey. CoRR abs/2004.08821 (2020) - [i16]Florenc Demrozi, Graziano Pravadelli, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. CoRR abs/2004.09134 (2020) - [i15]Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi:
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR abs/2004.12551 (2020) - [i14]Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR abs/2004.13066 (2020) - [i13]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients. CoRR abs/2004.14952 (2020) - [i12]Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. CoRR abs/2005.01798 (2020) - [i11]Subhash Nerella, Azra Bihorac, Patrick James Tighe, Parisa Rashidi:
Facial Action Unit Detection on ICU Data for Pain Assessment. CoRR abs/2005.02121 (2020) - [i10]Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti:
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. CoRR abs/2005.05163 (2020)
2010 – 2019
- 2019
- [j3]Anton Kocheturov
Extended vertical lists for temporal pattern mining from multivariate time series. Expert Syst. J. Knowl. Eng. 36(5) (2019) - [j2]Tyler J. Loftus
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. Frontiers Artif. Intell. 2: 32 (2019) - [c7]Marko Suvajdzic, Azra Bihorac
Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients. SeGAH 2019: 1-7 - [i9]Triton Ong, Matthew Ruppert, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Marko Suvajdzic, Azra Bihorac:
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. CoRR abs/1906.11706 (2019) - [i8]Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR abs/1910.12895 (2019) - 2018
- [j1]Benjamin Shickel
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. IEEE J. Biomed. Health Informatics 22(5): 1589-1604 (2018) - [c6]Anis Davoudi
Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. BHI 2018: 17-20 - [c5]Kumar Rohit Malhotra, Anis Davoudi
Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. CVPR Workshops 2018: 1863-1865 - [c4]Paul Nickerson, Raheleh Baharloo, Anis Davoudi
Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series. EMBC 2018: 4106-4109 - [i7]Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi:
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR abs/1802.10238 (2018) - [i6]Meghan Brennan, Sahil Puri, Tezcan Ozrazgat-Baslanti, Rajendra Rana Bhat, Zheng Feng, Petar Momcilovic, Xiaolin Li, Daisy Zhe Wang, Azra Bihorac:
Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study. CoRR abs/1804.03258 (2018) - [i5]Anton Kocheturov, Petar Momcilovic, Azra Bihorac, Panos M. Pardalos:
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series. CoRR abs/1804.10025 (2018) - [i4]Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR abs/1804.10201 (2018) - [i3]Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac:
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR abs/1805.05452 (2018) - 2017
- [c3]Anis Davoudi
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. BIBE 2017: 568-573 - [c2]Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan
Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment. DASC/PiCom/DataCom/CyberSciTech 2017: 1254-1259 - [c1]Marko Suvajdzic, Azra Bihorac
D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). SeGAH 2017: 1-5 - [i2]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR abs/1706.03446 (2017) - [i1]Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li:
Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment. CoRR abs/1709.10192 (2017)
Coauthor Index
Tezcan Baslanti
aka: Tezcan Ozrazgat-Baslanti
aka: Tezcan Ozrazgat-Baslanti
[j12] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [c13] [c12] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j9] [j7] [j6] [i20] [j5] [c11] [i19] [i18] [j4] [c10] [c9] [c8] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j2] [c7] [i9] [i8] [j1] [c6] [c5] [c4] [i7] [i4] [i3] [c3] [c1] [i2]
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last updated on 2024-12-10 20:50 CET by the dblp team
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