Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury

Aref Andishgar; Maziyar Rismani; Sina Bazmi; Zahra Mohammadi; Sedighe Hooshmandi; Behnam Kian; Amin Niakan; Reza Taheri; Hosseinali Khalili; Roohallah Alizadehsani

doi:10.1038/s41598-025-89574-0

Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury

A Aref Andishgar M Maziyar Rismani S Sina Bazmi Z Zahra Mohammadi S Sedighe Hooshmandi B Behnam Kian A Amin Niakan R Reza Taheri H Hosseinali Khalili R Roohallah Alizadehsani

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published February 18, 2025

DOI 10.1038/s41598-025-89574-0

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (10)

A

Aref Andishgar

M

Maziyar Rismani

S

Sina Bazmi

Z

Zahra Mohammadi

S

Sedighe Hooshmandi

B

Behnam Kian

A

Amin Niakan

R

Reza Taheri

H

Hosseinali Khalili

R

Roohallah Alizadehsani

Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury

Article Details

Journal Info

Authors (10)

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