Implementation of a machine learning application in preoperative risk assessment for hip repair surgery

BACKGROUND: This study aims to develop a machine learning-based application in a real-world medical domain to assist anesthesiologists in assessing the risk of complications in patients after a hip surgery. METHODS: Data from adult patients who underwent hip repair surgery at Chi-Mei Medical Center...

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Detalles Bibliográficos
Autores principales: Li, Yu-Yu, Wang, Jhi-Joung, Huang, Sheng-Han, Kuo, Chi-Lin, Chen, Jen-Yin, Liu, Chung-Feng, Chu, Chin-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034633/
https://www.ncbi.nlm.nih.gov/pubmed/35459103
http://dx.doi.org/10.1186/s12871-022-01648-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034633/
https://www.ncbi.nlm.nih.gov/pubmed/35459103
http://dx.doi.org/10.1186/s12871-022-01648-y

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