Optimal Triage for COVID-19 Patients Under Limited Health Care Resources With a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation: Development Study

BACKGROUND: The COVID-19 pandemic has placed an unprecedented burden on health care systems. OBJECTIVE: We aimed to effectively triage COVID-19 patients within situations of limited data availability and explore optimal thresholds to minimize mortality rates while maintaining health care system capa...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Jeongmin, Lim, Hakyung, Ahn, Jae-Hyeon, Lee, Kyoung Hwa, Lee, Kwang Suk, Koo, Kyo Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565604/
https://www.ncbi.nlm.nih.gov/pubmed/34609319
http://dx.doi.org/10.2196/32726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565604/
https://www.ncbi.nlm.nih.gov/pubmed/34609319
http://dx.doi.org/10.2196/32726

Ejemplares similares