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A Proposed Synthesis for Surgeon Intuition and Machine Learning: A Prospective Study Quantifying The Prognostic Value of Surgeon Intuition

Publication: Journal Article
Marwaha, Jayson, Brendin Ryan Beaulieu-Jones, Hao Wei Chen Chen, Chris J Kennedy, William Yuan, Charles Howard Cook, and Gabriel Brat. 2023. “A Proposed Synthesis for Surgeon Intuition and Machine Learning: A Prospective Study Quantifying The Prognostic Value of Surgeon Intuition”. Journal of the American College of Surgeons 236 (5): S37.

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

Publication: Journal Article
Dagliati, Arianna, Zachary H Strasser, Zahra Shakeri Hossein Abad, Jeffrey G Klann, Kavishwar B Wagholikar, Rebecca Mesa, Shyam Visweswaran, et al. 2023. “Characterization of Long COVID Temporal Sub-Phenotypes by Distributed Representation Learning from Electronic Health Record Data: A Cohort Study”. Eclinicalmedicine 64.

Postoperative Opioid Prescribing via Rule-Based Guidelines Derived from In-Hospital Consumption: An Assessment of Efficacy Based on Post-Discharge Opioid Use

Publication: Journal Article
Beaulieu-Jones, Brendin R, Margaret T Berrigan, Jayson S Marwaha, Kortney A Robinson, Larry A Nathanson, Aaron Fleishman, and Gabriel A Brat. 2023. “Postoperative Opioid Prescribing via Rule-Based Guidelines Derived from In-Hospital Consumption: An Assessment of Efficacy Based on Post-Discharge Opioid Use”. Journal of the American College of Surgeons, 10-1097.

Azad Khan

Person: Postdoctoral Research Fellow
Azad Khan is a research fellow with an MD and a background in web development and programming. His current research focuses on the Federated Research project, and he has contributed to projects related to opioid prescription and kidney transplantation. He has experience in developing a web-based...