Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation

Machine Learning Model to Identify Sepsis Patients in the Emergency Department: Algorithm Development and Validation

Accurate stratification of sepsis can effectively guide the triage of patient care and shared decision making in the emergency department (ED). However, previous research on sepsis identification models focused mainly on ICU patients, and discrepancies in model performance between the development an...

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Bibliographic Details
Main Authors: Pei-Chen Lin, Kuo-Tai Chen, Huan-Chieh Chen, Md. Mohaimenul Islam, Ming-Chin Lin
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
sepsis
septic shock
machine learning
emergency department
intensive care unit
Medicine
R
Online Access:https://doaj.org/article/db4f7d1a0f004fad91523c388f3c115a
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https://doaj.org/article/db4f7d1a0f004fad91523c388f3c115a

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