Prediction Model for 30-Day Mortality after Non-Cardiac Surgery Using Machine-Learning Techniques Based on Preoperative Evaluation of Electronic Medical Records

Background: Machine-learning techniques are useful for creating prediction models in clinical practice. This study aimed to construct a prediction model of postoperative 30-day mortality based on an automatically extracted electronic preoperative evaluation sheet. Methods: We used data from 276,341...

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Detalles Bibliográficos
Autores principales: Choi, Byungjin, Oh, Ah Ran, Lee, Seung-Hwa, Lee, Dong Yun, Lee, Jong-Hwan, Yang, Kwangmo, Kim, Ha Yeon, Park, Rae Woong, Park, Jungchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659244/
https://www.ncbi.nlm.nih.gov/pubmed/36362715
http://dx.doi.org/10.3390/jcm11216487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659244/
https://www.ncbi.nlm.nih.gov/pubmed/36362715
http://dx.doi.org/10.3390/jcm11216487

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