Prognosis prediction in traumatic brain injury patients using machine learning algorithms

Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging worldwide. The present study aimed to achieve the most accurate machine learning (ML) algorithms to predict the outcomes of TBI treatment by evaluating demographic features, laboratory data, imaging indices, and cl...

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Detalles Bibliográficos
Autores principales: Khalili, Hosseinali, Rismani, Maziyar, Nematollahi, Mohammad Ali, Masoudi, Mohammad Sadegh, Asadollahi, Arefeh, Taheri, Reza, Pourmontaseri, Hossein, Valibeygi, Adib, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Niakan, Amin, Andishgar, Aref, Islam, Sheikh Mohammed Shariful, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849475/
https://www.ncbi.nlm.nih.gov/pubmed/36653412
http://dx.doi.org/10.1038/s41598-023-28188-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849475/
https://www.ncbi.nlm.nih.gov/pubmed/36653412
http://dx.doi.org/10.1038/s41598-023-28188-w

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