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2020 – today
- 2024
[j3]Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang
, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong:
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31(8): 1671-1681 (2024)- 2023
- [j2]Edith Mensah Otabil, Qiying Dai, Paula Anzenberg, Andreas Filippaios, Eric Ding, Jordy Mehawej, Joanne E. Mathew, Darleen Lessard, Ziyue Wang, Kamran Noorishirazi, Alexander Hamel, Tenes Paul, Danielle DiMezza, Dong Han, Fahimeh Mohagheghian, Apurv Soni, Honghuang Lin, Bruce Barton, Jane Saczynski, Ki H. Chon, Khanh-Van Tran, David D. McManus:
Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection. Frontiers Digit. Health 5 (2023) - [j1]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [c2]Shaika Chowdhury, Yongbin Chen, Xiao Ma, Qiying Dai, Yue Yu, Nansu Zong:
Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records. BCB 2023: 34:1-34:6 - [c1]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526
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