Machine Learning to Predict Three Types of Outcomes After Traumatic Brain Injury Using Data at Admission: A Multi-Center Study for Development and Validation.

Saved in:
Bibliographic Details
Title: Machine Learning to Predict Three Types of Outcomes After Traumatic Brain Injury Using Data at Admission: A Multi-Center Study for Development and Validation.
Authors: Matsuo K; Department of Neurosurgery, Hyogo Emergency Medical Center and Kobe Red Cross Hospital, Kobe, Japan.; Department of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan., Aihara H; Department of Neurosurgery, Hyogo Prefectural Himeji Cardiovascular Center, Himeji, Japan., Hara Y; Department of Neurosurgery, Hyogo Emergency Medical Center and Kobe Red Cross Hospital, Kobe, Japan., Morishita A; Department of Neurosurgery, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Japan., Sakagami Y; Department of Neurosurgery, Hyogo Prefectural Awaji Medical Center, Sumoto, Japan., Miyake S; Department of Neurosurgery, Kita-harima Medical Center, Ono, Japan., Tatsumi S; Department of Neurosurgery, Hirohata Steel Memorial Hospital, Himeji, Japan., Ishihara S; Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe, Japan., Tohma Y; Acute Care Medical Center, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Japan., Yamashita H; Department of Neurosurgery, Hyogo Emergency Medical Center and Kobe Red Cross Hospital, Kobe, Japan., Sasayama T; Department of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Source: Journal of neurotrauma [J Neurotrauma] 2023 Aug; Vol. 40 (15-16), pp. 1694-1706. Date of Electronic Publication: 2023 Apr 24.
Publication Type: Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Mary Ann Liebert Country of Publication: United States NLM ID: 8811626 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-9042 (Electronic) Linking ISSN: 08977151 NLM ISO Abbreviation: J Neurotrauma Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-9042
DOI:10.1089/neu.2022.0515