Sina Rashidian

Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy.

Rajarsi R. Gupta, Fusheng Wang, Joel H Saltz, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation

Wei Chang, Richard A. Moffitt, Janos G. Hajagos, 2020, AIME.

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records

Yu Wang, Joel Saltz, Xinyu Dong, 2019, AMIA.

Disease phenotyping using deep learning: A diabetes case study pdf

Joel H. Saltz, Fusheng Wang, Richard A. Moffitt, 2018, ArXiv.

Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning pdf

Wei Hou, Fusheng Wang, Joel Saltz, 2020, J. Am. Medical Informatics Assoc..

Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks

Tahsin Kurc, Janos Hajagos, Sina Rashidian, 2021, Poly/DMAH@VLDB.

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning

Xinyu Dong, Mary M. Saltz, Sina Rashidian, 2021, J. Biomed. Informatics.

BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection.

Xiaojun Bi, Furqan Baig, Michel Beaudouin-Lafon, 2021, Proceedings. Graphics Interface.

Distance metric learning for complex networks: towards size-independent comparison of network structures.

Jafar Habibi, Sadegh Aliakbary, Ali Movaghar, 2015, Chaos.

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Xinyu Dong, Hongyi Duanmu, Sina Rashidian, 2020, Journal of medical Internet research.