Md Mahmudul Hasan

Md Mahmudul Hasan

  • Assistant Professor

Contact

Location

  • Warrington College of Business
  • Information Systems and Operations Management Department
  • Master of Business Administration
  • Stuzin Hall 361E
Homepage

News

Courses taught

  • Advanced Managerial Statistics (QMB5305)
  • Seminar in Information Systems and Operations Management (QMB7933)

Education

  • PhD, Northeastern University, 2022

PhD students advised

  • Alaa Abdullah Alshehri — 2024 — Current
  • Amit Mazumder Shuvo — 2023 — Current
  • Hasan Al-Shaikh — 2022 — Current
  • Jabed Al Faysal — 2022 — Current
  • Md Latifur Rahman — 2022 — Current
  • Md Saad Ul Haque — 2023 — Current
  • Mohammad Yaseliani — 2023 — Current
  • Tahmid Hussain — 2024 — Current
  • Ummay Sumaya Khan — 2023 — Current
  • Kazi A Alam — 2022 — 2023

Professional service

  • Attendee, Meeting, American Medical Informatics Association — 2023 to Present
  • Attendee, Meeting, INFORMS — 2023 to Present
  • Board of Directors, Florida state-funded Consortium for Medical Marijuana Clinical Outcomes Research — 2024 to Present
  • Editorial Review Board Member, Health Informatics Journal — 2024 to Present
  • Reviewer, Journal of Medical Internet Research (JMIR), JMIR Medical Informatics, JMIR public Health and Surveillance, Nature Scientific Reports — 2024 to Present
  • Attendee, Meeting, Florida Society of Health-Systems Pharmacists' (FSHP) — 2024
  • Mentor, Addiction Health Service Research (AHSR) — 2024
  • Workshop Organizer, Centers for Disease Control and Prevention (CDC) — 2024

Conference proceeding publications

  • LEVERAGING MACHINE LEARNING TO ILLUMINATE PREDICTORS OF LONG-TERM MORTALITY: AN IN-DEPTH ANALYSIS OF HYPERTENSIVE PATIENTS WITH CAD
    • Status: Published
    • Published Year: 2024
    • Authors: Osama Dasa, Mohammad Yaseliani, Francheska Adela Castro, Rhonda Cooper-DeHoff, Eileen Handberg, Carl Pepine, Md Mahmudul Hasan

Journal article publications

  • 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