Usability Testing to Guide Development of a Clinical Decision Support System for Substance Use Screening and Interventions in Primary Care. - Jennifer McNeely; Andre W. Kushniruk; Sarah Farkas; Aida Vega; Eva Waite; Lauren A. Peccoralo; Melanie Harris; Christine Chollak; Richard N. Rosenthal; John Rotrosen; Joseph L. Kannry (AMIA, 2017)

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. - Xinyu Dong; Sina Rashidian; Yu Wang 137; Janos G. Hajagos; Xia Zhao; Richard N. Rosenthal; Jun Kong 002; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (AMIA, 2019)

Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. - Xinyu Dong; Jianyuan Deng; Sina Rashidian; Kayley Abell-Hart; Wei Hou; Richard N. Rosenthal; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (J. Am. Medical Informatics Assoc., 2021)

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. - Xinyu Dong; Jianyuan Deng; Wei Hou; Sina Rashidian; Richard N. Rosenthal; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (J. Biomed. Informatics, 2021)

Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. - Yinan Liu; Xinyu Dong; Weimin Lyu; Richard N. Rosenthal; Rachel Wong; Tengfei Ma 001; Fusheng Wang 001 (CoRR, 2023)

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. - Xinyu Dong; Rachel Wong; Weimin Lyu; Kayley Abell-Hart; Jianyuan Deng; Janos G. Hajagos; Richard N. Rosenthal; Chao Chen 012; Fusheng Wang 001 (Artif. Intell. Medicine, 2023)

Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. - Khushboo Singh; Vasudha Varadarajan; Adithya V. Ganesan; August Håkan Nilsson; Nikita Soni 002; Syeda Mahwish; Pranav Chitale; Ryan L. Boyd; Lyle H. Ungar; Richard N. Rosenthal; H. Andrew Schwartz (ACL (Findings), 2025)