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Gil Alterovitz

Department of Veterans Affairs (VA)

810 Vermont Avenue NW

Washington, DC 20420

United States

  • Department of Veterans Affairs (VA)

SCHOLARLY PAPERS

8

DOWNLOADS

571

TOTAL CITATIONS

6

Scholarly Papers (8)

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1.

Designing COVID-19 Mortality Predictions to Advance Clinical Outcomes: Evidence from the Department of Veterans Affairs

Number of pages: 31 Posted: 21 Dec 2020 Last Revised: 16 Apr 2021
Christos Makridis, Tim Strebel, Vincent C. Marconi and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Department of Veterans Affairs (VA), Emory University - Rollins School of Public Health and Department of Veterans Affairs (VA)
Downloads 98 (699,467)

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Artificial Intelligence, Clinical Practice, Coronavirus, Machine Learning, Socio-Demographics, Veterans, Department of Veterans Affairs

2.

Leveraging Machine Learning to Characterize the Role of Socio-economic Determinants of Physical Health and Well-being Among Veterans

Number of pages: 27 Posted: 14 May 2020 Last Revised: 04 Sep 2020
Christos Makridis, David Zhao, Cosmin (Adi) Bejan and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Stanford University, School of Engineering, Computer Science, Students, Vanderbilt University and Department of Veterans Affairs (VA)
Downloads 92 (730,864)

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Artificial intelligence, machine learning, medical informatics, subjective well-being, veterans

3.

Using Machine Learning to Understand Veterans' Receipt of Loans in the Paycheck Protection Program

Number of pages: 35 Posted: 08 Nov 2020
Christos Makridis, JD Kelly and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Stanford University and Department of Veterans Affairs (VA)
Downloads 87 (759,537)

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Coronavirus, Entrepreneurship, Paycheck Protection Program, Socio-demographics, Veterans

4.

How Much Does the (Social) Environment Matter? Using Artificial Intelligence to Predict COVID-19 Outcomes with Socio-demographic Data

Number of pages: 8 Posted: 13 Oct 2020
Christos Makridis, Anish Mudide and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Phillips Exeter Academy and Department of Veterans Affairs (VA)
Downloads 86 (765,566)
Citation 2

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Artificial Intelligence, Coronavirus, COVID-19, Machine Learning, Veterans

5.

How Did Veterans Fare Over the COVID-19 Pandemic? The Role of Health Equity and Access to Care

Johns Hopkins Carey Business School Research Paper No. 22-10
Number of pages: 26 Posted: 24 May 2022 Last Revised: 03 Dec 2023
Christos Makridis, Michael Darden and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Johns Hopkins University - Carey Business School and Department of Veterans Affairs (VA)
Downloads 83 (783,685)

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COVID-19, Earnings, Healthcare, Subjective Well-being, Veterans

6.

Ethical Applications of Artificial Intelligence: Evidence from Veterans' Health Research

Number of pages: 5 Posted: 29 Apr 2021
Christos Makridis, seth hurley, Molly Klote and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, affiliation not provided to SSRN, Department of Veterans Affairs (VA) and Department of Veterans Affairs (VA)
Downloads 81 (796,622)
Citation 1

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Artificial Intelligence, Ethics, Explainability, Risk, Trust, Veterans

7.

Leveraging Machine Learning to Characterize the Role of Socio-Economic Determinants on Physical Health and Well-Being Among Veterans

Number of pages: 28 Posted: 19 Oct 2020
Christos Makridis, David Zhao, Cosmin (Adi) Bejan and Gil Alterovitz
Arizona State University (ASU) - W.P. Carey School of Business, Stanford University, School of Engineering, Computer Science, Students, Vanderbilt University and Department of Veterans Affairs (VA)
Downloads 44 (1,133,231)
Citation 3

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Artificial intelligence, machine learning, medical informatics, subjective well-being, veterans

8.

Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration

Annual Review of Biomedical Data Science, Vol. 5, pp. 393-413, 2022
Posted: 26 Aug 2022
David Atkins, Christos A. Makridis, Gil Alterovitz, Rachel Ramoni and Carolyn M. Clancy
Department of Veterans Affairs (VA), Department of Veterans Affairs (VA), Department of Veterans Affairs (VA), Department of Veterans Affairs (VA) and Government of the United States of America - Agency for Healthcare Research & Quality (AHRQ)

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