A Machine Learning Study of 534,023 Medicare Beneficiaries with COVID-19: Implications for Personalized Risk Prediction for People Over 65
Year: 2022
Type: article
Study design: Observational Study
Abstract: The global outbreak of COVID-19 has resulted in over 378 million infections and worldwide casualties have surpassed 5.6 million. Identifying individuals at highest risk of COVID-19 death may help risk evaluation and health service provision. Personalized risk prediction that uses a broad range of comorbidities requires a cohort size larger than that reported in prior studies.
Authors: Chen Dun, Christi M. Walsh, Sunjae Bae, Amesh Adalja, Eric Toner, Timothy A. Lash, Farah Hashim, Joseph Paturzo, Dorry L. Segev, Martin A. Makary
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4296041297