A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study

BACKGROUND: The treatment and care of adults and children with traumatic brain injury (TBI) constitute an intractable global health problem. Predicting the prognosis and length of hospital stay of patients with TBI may improve therapeutic effects and significantly reduce societal health care burden....

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Detalles Bibliográficos
Autores principales: Fang, Cheng, Pan, Yifeng, Zhao, Luotong, Niu, Zhaoyi, Guo, Qingguo, Zhao, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789495/
https://www.ncbi.nlm.nih.gov/pubmed/36485032
http://dx.doi.org/10.2196/41819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789495/
https://www.ncbi.nlm.nih.gov/pubmed/36485032
http://dx.doi.org/10.2196/41819

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