Machine Learning Models of Survival Prediction in Trauma Patients

Background: We aimed to build a model using machine learning for the prediction of survival in trauma patients and compared these model predictions to those predicted by the most commonly used algorithm, the Trauma and Injury Severity Score (TRISS). Methods: Enrolled hospitalized trauma patients fro...

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Detalles Bibliográficos
Autores principales: Rau, Cheng-Shyuan, Wu, Shao-Chun, Chuang, Jung-Fang, Huang, Chun-Ying, Liu, Hang-Tsung, Chien, Peng-Chen, Hsieh, Ching-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616432/
https://www.ncbi.nlm.nih.gov/pubmed/31195670
http://dx.doi.org/10.3390/jcm8060799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616432/
https://www.ncbi.nlm.nih.gov/pubmed/31195670
http://dx.doi.org/10.3390/jcm8060799

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