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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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