Qiying Dai

According to our database, Qiying Dai authored at least 4 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

J. Am. Medical Informatics Assoc., September, 2023

Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection.

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

Frontiers Digit. Health, March, 2023

Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records.

Shaika Chowdhury, Yongbin Chen, Xiao Ma, Qiying Dai, Yue Yu, Nansu Zong

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023