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2020 – today
- 2024
[j13]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): 289-297 (2024)- [j12]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): 1258-1267 (2024) - 2023
- [j11]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: 105263 (2023) - [j10]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): 103499 (2023) - [i4]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 abs/2309.05088 (2023) - 2022
- [c27]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: 9:1-9:9 - [i3]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 abs/2209.06723 (2022) - 2021
- [j9]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): 362-371 (2021) - [j8]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): 2641-2653 (2021) - [c26]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 - [c25]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 - [c24]Mohit Manoj Sharma, Yonaka Harris, Yiye Zhang, Jyotishman Pathak:
Prescribing Pharmacogenomics Testing: Analyzing the Acceptance of Healthcare Providers through a Survey Study. AMIA 2021 - [c23]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 - [i2]Yufang Huang, Kelly M. Axsom, John Lee, Lakshminarayanan Subramanian, Yiye Zhang:
DICE: Deep Significance Clustering for Outcome-Aware Stratification. CoRR abs/2101.02344 (2021) - 2020
- [j7]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) - [c22]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 - [c21]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 - [c20]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 - [c19]Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu:
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. COLING 2020: 2213-2223 - [i1]Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu:
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. CoRR abs/2010.00735 (2020)
2010 – 2019
- 2019
- [c18]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 - [c17]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 - [c16]Shuojia Wang, Jyotishman Pathak, Yiye Zhang:
Using Electronic Health Records and Machine Learning to Predict Postpartum Depression. MedInfo 2019: 888-892 - 2018
- [j6]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) - [j5]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): 1109-1110 (2018) - [j4]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): 1547-1551 (2018) - [j3]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: 88-95 (2018) - [c15]Min-hyung Kim, Yiye Zhang, Jessica S. Ancker:
Augmenting community-level social determinants of health data with individual-level survey data. AMIA 2018 - [c14]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 - [c13]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: 368-370 - [c12]Faezeh Movahedi, Yiye Zhang, Rema Padman, James F. Antaki:
Mining Temporal Patterns from Sequential Healthcare Data. ICHI 2018: 461-462 - 2017
- [c11]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 - [c10]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 - [c9]Yiye Zhang, Rema Padman:
On Combining Clinical and Cost Pathways for Multimorbid Patients Using Electronic Health Record Data. CRI 2017 - [c8]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
- [c7]Yiye Zhang, Rema Padman:
Data-driven Clinical Pathway Learning and Outcomes Prediction for Chronic Kidney Disease. AMIA 2016 - 2015
- [j2]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) - [j1]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) - [c6]Yiye Zhang, Rema Padman:
Data Driven Order Set Development Using Metaheuristic Optimization. AIME 2015: 47-56 - [c5]Daniel Gartner, Yiye Zhang, Rema Padman:
Workload Reduction Through Usability Improvement of Hospital Information Systems - The Case of Order Set Optimization. ICIS 2015 - 2014
- [c4]Yiye Zhang, Rema Padman, Larry A. Wasserman:
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney Disease. AMIA 2014 - 2013
- [c3]Yiye Zhang, James E. Levin, Rema Padman:
Toward Order Set Optimization Using Click Cost Criteria in the Pediatric Environment. HICSS 2013: 2575-2584 - [c2]Yiye Zhang, Rema Padman, James E. Levin:
Reducing Provider Cognitive Workload in CPOE Use: Optimizing Order Sets. MedInfo 2013: 734-738 - 2012
- [c1]Yiye Zhang, James E. Levin, Rema Padman:
Data-driven Order Set Generation and Evaluation in the Pediatric Environment. AMIA 2012
Coauthor Index
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