Development and Structure of an Accurate Machine Learning Algorithm to Predict Inpatient Mortality and Hospice Outcomes in the Coronavirus Disease 2019 Era

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has challenged the accuracy and racial biases present in traditional mortality scores. An accurate prognostic model that can be applied to hospitalized patients irrespective of race or COVID-19 status may benefit patient care. RESEARCH DES...

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Detalles Bibliográficos
Autores principales: Chi, Stephen, Guo, Aixia, Heard, Kevin, Kim, Seunghwan, Foraker, Randi, White, Patrick, Moore, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Brief Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989608/
https://www.ncbi.nlm.nih.gov/pubmed/35230273
http://dx.doi.org/10.1097/MLR.0000000000001699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989608/
https://www.ncbi.nlm.nih.gov/pubmed/35230273
http://dx.doi.org/10.1097/MLR.0000000000001699

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