Gil Alterovitz

Department of Veterans Affairs (VA)

810 Vermont Avenue NW

Washington, DC 20420

United States

SCHOLARLY PAPERS

8

DOWNLOADS

374

SSRN CITATIONS

1

CROSSREF CITATIONS

2

Scholarly Papers (8)

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
Stanford University, Department of Veterans Affairs (VA), Emory University - Rollins School of Public Health and Department of Veterans Affairs (VA)
Downloads 74 (566,623)

Abstract:

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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
Stanford University, Stanford University, School of Engineering, Computer Science, Students, Vanderbilt University and Department of Veterans Affairs (VA)
Downloads 70 (583,982)

Abstract:

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

3.

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
Stanford University, Phillips Exeter Academy and Department of Veterans Affairs (VA)
Downloads 64 (611,943)
Citation 2

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

4.

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
Stanford University, Stanford University and Department of Veterans Affairs (VA)
Downloads 61 (626,931)

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

5.

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

Number of pages: 5 Posted: 29 Apr 2021
Stanford University, affiliation not provided to SSRN, Department of Veterans Affairs (VA) and Department of Veterans Affairs (VA)
Downloads 41 (745,404)

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

6.

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
Stanford University, Johns Hopkins University - Carey Business School and Department of Veterans Affairs (VA)
Downloads 38 (766,545)

Abstract:

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COVID-19, Earnings, Healthcare, Subjective Well-being, 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
Stanford University, Stanford University, School of Engineering, Computer Science, Students, Vanderbilt University and Department of Veterans Affairs (VA)
Downloads 26 (862,169)
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
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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