Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population

To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes, elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness using a racially diverse patient population with high social needs. Data included 7,102 patients with positive (RT-PCR) severe acute...

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Vydané v:	Journal of the American Medical Informatics Association : JAMIA Ročník 29; číslo 7; s. 1253
Hlavní autori:	Hao, Boran, Hu, Yang, Sotudian, Shahabeddin, Zad, Zahra, Adams, William G, Assoumou, Sabrina A, Hsu, Heather, Mishuris, Rebecca G, Paschalidis, Ioannis C
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 14.06.2022
Predmet:	COVID-19 AI social determinants of health predictive modeling racial bias
ISSN:	1527-974X, 1527-974X
On-line prístup:	Zistit podrobnosti o prístupe
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