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Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

Hong, Chuan, Harrison G Zhang, Sehi L Yi, Griffin Weber, Paul Avillach, Bryce WQ Tan, Alba Guti\ errez-Sacrist\ an, et al. 2022. “Changes in Laboratory Value Improvement and Mortality Rates over the Course of the Pandemic: An International Retrospective Cohort Study of Hospitalised Patients Infected With SARS-CoV-2”. BMJ Open 12 (6): e057725.

Quantifying the prognostic value of preoperative surgeon intuition: comparing surgeon intuition and clinical risk prediction as derived from the American College of Surgeons NSQIP Risk Calculator

Marwaha, Jayson S, Brendin R Beaulieu-Jones, Margaret Berrigan, William Yuan, Stephen R Odom, Charles H Cook, Benjamin B Scott, et al. 2023. “Quantifying the Prognostic Value of Preoperative Surgeon Intuition: Comparing Surgeon Intuition and Clinical Risk Prediction As Derived from the American College of Surgeons NSQIP Risk Calculator”. Journal of the American College of Surgeons 236 (6): 1093-1103.

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

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

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

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.