Machine Learning Model Development and Validation for Predicting Outcome in Stage 4 Solid Cancer Patients with Septic Shock Visiting the Emergency Department: A Multi-Center, Prospective Cohort Study

Machine Learning Model Development and Validation for Predicting Outcome in Stage 4 Solid Cancer Patients with Septic Shock Visiting the Emergency Department: A Multi-Center, Prospective Cohort Study

A reliable prognostic score for minimizing futile treatments in advanced cancer patients with septic shock is rare. A machine learning (ML) model to classify the risk of advanced cancer patients with septic shock is proposed and compared with the existing scoring systems. A multi-center, retrospecti...

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Bibliographic Details
Main Authors: Byuk Sung Ko, Sanghoon Jeon, Donghee Son, Sung-Hyuk Choi, Tae Gun Shin, You Hwan Jo, Seung Mok Ryoo, Youn-Jung Kim, Yoo Seok Park, Woon Yong Kwon, Gil Joon Suh, Tae Ho Lim, Won Young Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Clinical Medicine
Subjects:
cancer patient
septic shock
machine learning
prognosis
Online Access:https://www.mdpi.com/2077-0383/11/23/7231

Internet

https://www.mdpi.com/2077-0383/11/23/7231

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