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Thomas McKelvey Jr., MD, Preventive Medicine, New York, NY

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 Washington
    University of WashingtonMS, Biomedical & Health Informatics, 2016
  • University of Washington
    University of WashingtonResidency, Occupational and Environmental Medicine, 2015 - 2017
  • Montefiore Medical Center/Albert Einstein College of Medicine of Yeshiva University
    Montefiore Medical Center/Albert Einstein College of Medicine of Yeshiva UniversityResidency, Plastic Surgery - Integrated, 2013 - 2014
  • Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public HealthMPH, 2012 - 2013
  • Geisel School of Medicine at Dartmouth
    Geisel School of Medicine at DartmouthClass of 2013

Certifications & Licensure

  • WA State Medical License
    WA State Medical License 2016 - 2020
  • Diplomate
    American College of Lifestyle MedicineDiplomate

Awards, Honors, & Recognition

  • Fellow for Life The Albert Schweitzer Fellowship

Publications & Presentations

PubMed

Journal Articles

  • Death vs. Data Science: Predicting End of Life  
    Muhammad 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 Models
    Muhammad 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 Symposium
    Xinran 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 ASP
    E. 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 Sick
    UW Spinout KenSci Raises $8.5M for Machine Learning Platform That Predicts Which Patients Will Get SickJanuary 25th, 2017

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