Ontology highlight
ABSTRACT: Introduction
Traumatic brain injury (TBI) remains a major public health concern in India, with high mortality and long-term disability. Existing prognostic models, mostly developed in high-income countries using traditional methods, lack generalisability to the Indian context and do not use the potential of machine learning or multicentric data. This study primarily aims to develop, compare and validate machine learning methods, including the traditional approach, to predict 30-day mortality and 6-month functional outcomes in patients with moderate or severe TBI. A secondary objective is to describe and compare admission characteristics and outcomes (at discharge, 3 months, 6 months and 1 year) in TBI patients in tertiary care settings using descriptive analyses.Methods and ana
SUBMITTER: Kamal VK
PROVIDER: S-EPMC12496054 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature