
Thomas Gregory McKelvey Jr. MD MPH
Clinical Informatics
Clinical Informatics: Applied Machine Learning
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1 World Trade Centerfloor 80New York, NY 10007
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Education & Training
- University of WashingtonMS, Biomedical & Health Informatics, 2016
- University of WashingtonResidency, Occupational and Environmental Medicine, 2015 - 2017
- Montefiore Medical Center/Albert Einstein College of Medicine of Yeshiva UniversityResidency, Plastic Surgery - Integrated, 2013 - 2014
- Johns Hopkins Bloomberg School of Public HealthMPH, 2012 - 2013
- Geisel School of Medicine at DartmouthClass of 2013
Certifications & Licensure
- WA State Medical License 2016 - 2020
- American College of Lifestyle MedicineDiplomate
Awards, Honors, & Recognition
- Fellow for Life The Albert Schweitzer Fellowship
Publications & Presentations
PubMed
- 29 citationsThe design of a medical school social justice curriculum.Alexandra Coria, T. McKelvey, Paul Charlton, Michael H. Woodworth, Timothy Lahey
Academic Medicine. 2013-10-01 - 45 citationsA detailed analysis of level I evidence (randomized controlled trials and meta-analyses) in five plastic surgery journals to date: 1978 to 2009.James E. McCarthy, Abhishek Chatterjee, T. Greg McKelvey, Elisabeth M. G. Jantzen, Carolyn L. Kerrigan
Plastic and Reconstructive Surgery. 2010-11-01
Journal Articles
- Death vs. Data Science: Predicting End of LifeMuhammad Aurangzeb Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfagar, Anam Zahid, Ankur Teredesai., IAAI
Abstracts/Posters
- Machine Learning Based Explanations to Support Risk of Readmission Prediction ModelsMuhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai, Greg McKelvey, AIMed 2017, Laguna Niguel, CA, 12/2017
- Using Machine learning to predict Hospital acquired Sepsis AMIA 2017 Annual SymposiumXinran Liu, Greg McKelvey, Muhammad Aurangzeb Ahmad, Rosemary Grant, David Carlbom, AMIA Annual Symposium, Washington, DC, 11/2017
- Generating Conflict-Free Treatments for Patients with Comorbidity using ASPE. Merhej, S. Schockaert, T. McKelvey, M. De Cock, Knowledge Representation for Health Care, Lecture Notes in Computer Science 10096, Selected and revised papers of KR4HC/ProHealth 2016, workshop at HEC2016 (Health-Exploring Complexity: an Interdisciplinary Systems Approach), p.111-119, 2017
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Authored Content
- Healthcare Needs More Chess BoxersApril 2019
Press Mentions
- UW Spinout KenSci Raises $8.5M for Machine Learning Platform That Predicts Which Patients Will Get SickJanuary 25th, 2017
Professional Memberships
- Member
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