Gary J. Young

According to our database, Gary J. Young authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data.

Farbod Alinezhad, Jianfei Cao, Gary J. Young, Brady Post

CoRR, April, 2026

2024

Self-help groups and opioid use disorder treatment: An investigation using a machine learning-assisted robust causal inference framework.

Sahil Shikalgar, Scott G. Weiner, Gary J. Young, Md. Noor-E.-Alam

Int. J. Medical Informatics, 2024

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals.

Jabed Al Faysal, Md. Noor-E.-Alam, Gary J. Young, Wei-Hsuan Lo-Ciganic, Amie J. Goodin, James L. Huang, Debbie L. Wilson, Tae Woo Park, Md Mahmudul Hasan

Comput. Biol. Medicine, 2024

2021

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study.

Md Mahmudul Hasan, Gary J. Young, Jiesheng Shi, Prathamesh Mohite, Leonard D. Young, Scott G. Weiner, Md. Noor-E.-Alam

BMC Medical Informatics Decis. Mak., 2021

2020

The Effect of Hospital-Physician Integration on Operational Performance: Evaluating Physician Employment for Cardiovascular Services.

E. David Zepeda, Gilbert N. Nyaga, Gary J. Young

Decis. Sci., 2020