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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:Clin Exp Emerg Med
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The Korean Society of Emergency Medicine 2020
Onderwerpen:
Original Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7550804/
https://ncbi.nlm.nih.gov/pubmed/33028063
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15441/ceem.19.052
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items