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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Detalles Bibliográficos
Autores principales: Ko, Byuk Sung, Jeon, Sanghoon, Son, Donghee, Choi, Sung-Hyuk, Shin, Tae Gun, Jo, You Hwan, Ryoo, Seung Mok, Kim, Youn-Jung, Park, Yoo Seok, Kwon, Woon Yong, Suh, Gil Joon, Lim, Tae Ho, Kim, Won Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737041/
https://www.ncbi.nlm.nih.gov/pubmed/36498805
http://dx.doi.org/10.3390/jcm11237231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737041/
https://www.ncbi.nlm.nih.gov/pubmed/36498805
http://dx.doi.org/10.3390/jcm11237231

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