The Clinical Application of Machine Learning-Based Models for Early Prediction of Hemorrhage in Trauma Intensive Care Units

Uncontrolled post-traumatic hemorrhage is an important cause of traumatic mortality that can be avoided. This study intends to use machine learning (ML) to build an algorithm based on data collected from an electronic health record (EHR) system to predict the risk of delayed bleeding in trauma patie...

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Detalles Bibliográficos
Autores principales: Lee, Shih-Wei, Kung, His-Chun, Huang, Jen-Fu, Hsu, Chih-Po, Wang, Chia-Cheng, Wu, Yu-Tung, Wen, Ming-Shien, Cheng, Chi-Tung, Liao, Chien-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699320/
https://www.ncbi.nlm.nih.gov/pubmed/36422077
http://dx.doi.org/10.3390/jpm12111901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699320/
https://www.ncbi.nlm.nih.gov/pubmed/36422077
http://dx.doi.org/10.3390/jpm12111901

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