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September 13, 2024JAMA Health ForumOpen Access

A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies

Mengli Xiao Kyle C. Molina Neil R. Aggarwal Laurel Beaty Tellen D. Bennett Nichole E. Carlson Lindsey E. Fish Mika K. Hamer Bethany M. Kwan David Mayer Jennifer L. Peers Matthew K. Wynia Adit A. Ginde

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Abstract

During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (PLTs), to optimize the distribution of scarce therapeutics.

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Cite This Study

Xiao et al. (2024) studied this question.

synapsesocial.com/papers/68e58936b6db6435875258ac https://doi.org/10.1001/jamahealthforum.2024.2884

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