Md Mahmudul Hasan

University of Florida
Warrington College of Business
Information Systems and Operations Management Department
Stuzin Hall 361E

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• PhD, Northeastern University, 2022

• UF study uses machine learning to predict opioid use disorder treatment interruptions — May 16, 2024 — Md Mahmudul Hasan, Ph.D., assistant professor in the UF College of Pharmacy and UF Warrington College of Business department of information...

• Adv Managerial Stat (QMB5305)
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• Phd Seminar in Is/It (QMB7933)
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• Seminar Info Sym/Oper (QMB7933)
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• Seminar in Is/It (QMB7933)
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• Amit Mazumder Shuvo — 2023 — Current
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• Hasan Al-Shaikh — 2022 — Current
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• Jabed Al Faysal — 2022 — Current
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• Md Latifur Rahman — 2022 — Current
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• Md Saad Ul Haque — 2023 — Current
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• Mohammad Yaseliani — 2023 — Current
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• Ummay Sumaya Khan — 2023 — Current
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• Kazi A Alam — 2022 — 2023
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• Attendee, Meeting, American Medical Informatics Association — 2023 to Present
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• Attendee, Meeting, INFORMS — 2023 to Present
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• 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
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• The Clinical Value of Counseling as a Complement to Buprenorphine Treatment for Opioid Use Disorder: A Retrospective Observational Study
  Status: In Preparation; Not Yet Submitted
  Authors: Tianjie Zhu, MD Hasan, Gary Young, Leonard Young, Md Noor-E-Alam
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• 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
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• 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
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• 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
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• 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
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• 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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