- A machine learning based approach to predict and identify individuals at high risk of side effects of medical marijuana
Status: Working Paper
Authors: Jabed Al Faysal, MD Hasan
- Artificial Intelligence Applied to prediction of Cannabis Use Disorder: A Scoping Review
Status: Working Paper
Authors: Mohammad Yaseliani, Md Mahmudul Hasan
- Enhancing Prediction of Pharmacogenetic Testing Utilization in Opioid Patients: A Machine Learning Approach
Status: In Preparation; Not Yet Submitted
Journal: Journal of the American Medical Informatics Association
Authors: Mohammad Yaseliani, Je-won Hong, Khoa Nguyen, Md Mahmudul Hasan
- Telehealth as a Care Delivery Channel for Opioid Use Disorder Treatment.
Status: Working Paper
Authors: MD Hasan, Liangfei Qiu, Emre Demirezen, Berkay Akyapi, Haldun Aytug, Xiguang Liu
- Proceedings of the 2024 Cannabis Clinical Outcomes Research Conference
Status: Published
Journal: Medical Cannabis and Cannabinoids
Published Year: 2024
Authors: Amie Goodin, Robert Cook, Yan Wang, Md Mahmudul Hasan, Almut Winterstein
- Patient outcomes following buprenorphine treatment for opioid use disorder: A retrospective analysis of the influence of patient‐ and prescriber‐level characteristics in Massachusetts, USA
Status: Published
Journal: Addiction
Published Year: 2024
Authors: Gary Young, Tianjie Zhu, MD Hasan, Farbod Alinezhad, Leonard Young, Md Noor-E-Alam
- Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: A Fairness-Aware Machine Learning Framework
Status: Published
Journal: Journal of Medical Internet Research
Published Year: 2024
Authors: Mohammad Yaseliani, Md Noor-E-Alam, MD Hasan
- An Explainable Machine Learning Framework for Predicting the Risk of Buprenorphine Treatment Discontinuation for Opioid Use Disorder among Commercially Insured Individuals
Status: Published
Journal: Computers in Biology and Medicine
Published Year: 2024
Authors: Jabed Al Faysal, Md Noor-E-Alam, Gary Young, Wei-Hsuan u0022Jennyu0022 Lo-Ciganic, Amie Goodin, James Huang, Debbie Wilson, Tae Park, Md Mahmudul Hasan
- Physician practice migration and changes in practice style: An empirical analysis of inappropriate diagnostic imaging in primary care
Status: Published
Journal: Production and Operations Management
Published Year: 2023
Authors: Gary Young, David Zepeda, Stephen Flaherty, MD Hasan
- Treatment Experiences for Patients Receiving Buprenorphine/Naloxone for Opioid Use Disorder: A Qualitative Study of Patients’ Perceptions and Attitudes
Status: Published
Journal: Substance Use & Misuse
Published Year: 2023
Authors: Gary Young, MD Hasan, Leonard Young, Md. Noor-E-Alam
- Optimizing return and secure disposal of prescription opioids to reduce the diversion to secondary users and black market
Status: Published
Journal: Socio-Economic Planning Sciences
Published Year: 2022
Authors: MD Hasan, Tasnim Ibn Faiz, Alicia Sasser Modestino, Md Noor-E-Alam
- Long-term patient outcomes following buprenorphine/naloxone treatment for opioid use disorder: a retrospective analysis in a commercially insured population
Status: Published
Journal: The American Journal of Drug and Alcohol Abuse
Published Year: 2022
Authors: MD Hasan, Md Noor-E-Alam, Jiesheng Shi, Leonard Young, Gary Young
- A machine learning based two-stage clinical decision support system for predicting patients’ discontinuation from opioid use disorder treatment: retrospective observational study
Status: Published
Journal: BMC Medical Informatics and Decision Making
Published Year: 2021
Authors: MD Hasan, Gary Young, Jiesheng Shi, Prathamesh Mohite, Leonard Young, Scott Weiner, Md Noor-E-Alam
- Patterns of patient discontinuation from buprenorphine/naloxone treatment for opioid use disorder: A study of a commercially insured population in Massachusetts
Status: Published
Journal: Journal of Substance Abuse Treatment
Published Year: 2021
Authors: MD Hasan, MD. Noor-E-Alam, Prathamesh Mohite, Md Saiful Islam, Alicia Sasser Modestino, Alyssa Peckham, Leonard Young, Gary Young
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