Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models

OBJECTIVE: This study aimed to confirm the accuracy of a machine-learning-based model in predicting the 30-day mortality of patients with pneumonia and evaluating whether they were required to be admitted to the intensive care unit (ICU). METHODS: The study conducted a retrospective analysis of pneu...

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Detalles Bibliográficos
Autores principales: Kang, Soo Yeon, Cha, Won Chul, Yoo, Junsang, Kim, Taerim, Park, Joo Hyun, Yoon, Hee, Hwang, Sung Yeon, Sim, Min Seob, Jo, Ik Joon, Shin, Tae Gun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550804/
https://www.ncbi.nlm.nih.gov/pubmed/33028063
http://dx.doi.org/10.15441/ceem.19.052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550804/
https://www.ncbi.nlm.nih.gov/pubmed/33028063
http://dx.doi.org/10.15441/ceem.19.052

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