Measuring the Response Performance of U.S. States against COVID-19 Using an Integrated DEA, CART, and Logistic Regression Approach

Measuring the U.S.’s COVID-19 response performance is an extremely important challenge for health care policymakers. This study integrates Data Envelopment Analysis (DEA) with four different machine learning (ML) techniques to assess the efficiency and evaluate the U.S.’s COVID-19 response performan...

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Detalles Bibliográficos
Autores principales: Xu, Yuan, Park, Yong Shin, Park, Ju Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998215/
https://www.ncbi.nlm.nih.gov/pubmed/33802276
http://dx.doi.org/10.3390/healthcare9030268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998215/
https://www.ncbi.nlm.nih.gov/pubmed/33802276
http://dx.doi.org/10.3390/healthcare9030268

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