Yiye Zhang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Prediction Model

Electronic Health Records

Clinical Decision Support

Top Venues

J. Am. Medical Informatics Assoc.

Appl. Clin. Inform.

Publications

Pooja M. Desai, Sarah Harkins, Saanjaana Rahman, Shiveen Kumar, Alison Hermann, Rochelle Joly, Yiye Zhang, Jyotishman Pathak, Jessica Kim, Deborah D'angelo, Natalie C. Benda, Meghan Reading Turchioe
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. J. Am. Medical Informatics Assoc. 31 (2) (2024)
Yifan Liu, Rochelle Joly, Meghan Reading Turchioe, Natalie C. Benda, Alison Hermann, Ashley Beecy, Jyotishman Pathak, Yiye Zhang
Preparing for the bedside - optimizing a postpartum depression risk prediction model for clinical implementation in a health system. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Chenquan Gan, Hongpeng Yang, Qingyi Zhu, Yiye Zhang, Akanksha Saini
An encrypted medical blockchain data search method with access control mechanism. Inf. Process. Manag. 60 (6) (2023)
Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR (2023)
Zilin Cheng, Haijing Hao, Fotini Tsofliou, Melissa D. Katz, Yiye Zhang
Effects of online support and social media communities on gestational diabetes: A systematic review. Int. J. Medical Informatics 180 (2023)
David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. CoRR (2022)
Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB (2022)
Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Alison Hermann, Rochelle Joly, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang
Deep Significance Clustering (DICE) a Heterogenous Population. AMIA (2021)
Marianne Sharko, Yongkang Zhang, Yiye Zhang, Evan Sholle, Sajjad Abedian, Meghan Reading Turchioe, Jessica S. Ancker
Impact of Social Determinants of Health on Predictive Models in 30-Day Hospital Readmission or Death for Patients with Severe Obesity. AMIA (2021)
Peter A. D. Steel, David Bodnar, Maryellen Bonito, Jane Torres-Lavoro, Dona Bou Eid, Andrew Jacobowitz, Yifan Liu, Amos Shemesh, Robert Tanouye, Patrick Rumble, Daniel Dicello, Rahul Sharma, Brenna Farmer, Sandra Pomerantz, Yiye Zhang
MyEDCare: Evaluation of a Smartphone-based Emergency Department Discharge Process. AMIA (2021)
Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang
Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Peter A. D. Steel, David Bodnar, Maryellen Bonito, Jane Torres-Lavoro, Dona Bou Eid, Andrew Jacobowitz, Amos Shemesh, Robert Tanouye, Patrick Rumble, Daniel Dicello, Rahul Sharma, Brenna Farmer, Sandra Pomerantz, Yiye Zhang
MyEDCare: Evaluation of a Smartphone-Based Emergency Department Discharge Process. Appl. Clin. Inform. 12 (02) (2021)
Yufang Huang, Kelly M. Axsom, John Lee, Lakshminarayanan Subramanian, Yiye Zhang
DICE: Deep Significance Clustering for Outcome-Aware Stratification. CoRR (2021)
Mohit Manoj Sharma, Yonaka Harris, Yiye Zhang, Jyotishman Pathak
Prescribing Pharmacogenomics Testing: Analyzing the Acceptance of Healthcare Providers through a Survey Study. AMIA (2021)
Annie C. Myers, Fariha Ahsan, Rochelle Joly, Alison Hermann, Yiye Zhang, Michael Laskoff, Jyotishman Pathak, Meghan Reading Turchioe
Provider perspectives on the clinical utility of using a risk prediction tool for postpartum depression. AMIA (2020)
Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA (2020)
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) (2020)
Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. CoRR (2020)
Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. COLING (2020)
Yiye Zhang, Jonathan H. Chen, Adam Wright, Jessica S. Ancker, Marc Tobias
Data-Driven Clinical Decision Support for Computerized Physician Order Entry: Development, Evaluation, and Implementation. AMIA (2020)
Shuojia Wang, Jyotishman Pathak, Yiye Zhang
Using Electronic Health Records and Machine Learning to Predict Postpartum Depression. MedInfo (2019)
Yiye Zhang, Evan Sholle, Marianne Sharko, Yongkang Zhang, Jessica S. Ancker
Informatics approaches to collecting, analyzing, and addressing social determinants of health in healthcare. AMIA (2019)
Yiye Zhang, Yonaka Harris, George Alexopoulos, Adam Stracher, Elizabeth Ross, Rainu Kaushal, Jyotishman Pathak
A Survey of Clinicians' Perception of Pharmacogenomics Testing for Antidepressants. AMIA (2019)
Tahir Rizvi, Soyeon Yoon, Hao Shi, Hyun Nam Su, Huaizhu O. Gao, Victoria Tiase, Robert Leviton, Yiye Zhang
Data-driven Optimization of Order Sets Within an Electronic Health Record System. AMIA (2018)
Min-hyung Kim, Yongjun Zhu, Samprit Banerjee, Lauren Evans, Yiye Zhang, Fei Wang, Sang Min Park, Jyotishman Pathak
Comparing Sex-Specific Association Networks of Chronic Medical Conditions. ICHI (2018)
Jessica S. Ancker, Min-hyung Kim, Yiye Zhang, Yongkang Zhang, Jyotishman Pathak
The potential value of social determinants of health in predicting health outcomes. J. Am. Medical Informatics Assoc. 25 (8) (2018)
Min-hyung Kim, Samprit Banerjee, Yize Zhao, Fei Wang, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak
Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. J. Biomed. Informatics 87 (2018)
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. 9 (04) (2018)
Min-hyung Kim, Yiye Zhang, Jessica S. Ancker
Augmenting community-level social determinants of health data with individual-level survey data. AMIA (2018)
Faezeh Movahedi, Yiye Zhang, Rema Padman, James F. Antaki
Mining Temporal Patterns from Sequential Healthcare Data. ICHI (2018)
Yiye Zhang, Richard Trepp, Weiguang Wang, Jorge M. Luna, David K. Vawdrey, Victoria Tiase
Developing and maintaining clinical decision support using clinical knowledge and machine learning: the case of order sets. J. Am. Medical Informatics Assoc. 25 (11) (2018)
Jessica S. Ancker, Sameer Malhotra, Yiye Zhang, Adam D. Cheriff
Redesigning the "Choice Architecture" of the EHR to Reduce Clinical Decision Support Burden. AMIA (2017)
Yiye Zhang, Richard Trepp, Jorge M. Luna, David K. Vawdrey, Victoria Tiase
Revision of Order Sets Using Experts' Knowledge and Data-Driven Evidence. AMIA (2017)
Yiye Zhang, Rema Padman
An Interactive Platform to Visualize Data-Driven Clinical Pathways for the Management of Multiple Chronic Conditions. MedInfo (2017)
Yiye Zhang, Rema Padman
On Combining Clinical and Cost Pathways for Multimorbid Patients Using Electronic Health Record Data. CRI (2017)
Yiye Zhang, Rema Padman
Data-driven Clinical Pathway Learning and Outcomes Prediction for Chronic Kidney Disease. AMIA (2016)
Yiye Zhang, Rema Padman
Data Driven Order Set Development Using Metaheuristic Optimization. AIME (2015)
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) (2015)
Yiye Zhang, Rema Padman, Nirav Patel
Paving the COWpath: Learning and visualizing clinical pathways from electronic health record data. J. Biomed. Informatics 58 (2015)
Daniel Gartner, Yiye Zhang, Rema Padman
Workload Reduction Through Usability Improvement of Hospital Information Systems - The Case of Order Set Optimization. ICIS (2015)
Yiye Zhang, Rema Padman, Larry A. Wasserman
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney Disease. AMIA (2014)
Yiye Zhang, Rema Padman, James E. Levin
Reducing Provider Cognitive Workload in CPOE Use: Optimizing Order Sets. MedInfo (2013)
Yiye Zhang, James E. Levin, Rema Padman
Toward Order Set Optimization Using Click Cost Criteria in the Pediatric Environment. HICSS (2013)
Yiye Zhang, James E. Levin, Rema Padman
Data-driven Order Set Generation and Evaluation in the Pediatric Environment. AMIA (2012)