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Predicting Traumatic Brain Injury Outcomes with Machine Learning: Development and External Validation in Two Indonesian Tertiary Hospitals

2026-06-16

Abstract excerpt

<title>Abstract</title> <p>Background Reliable prognostication of traumatic brain injury (TBI) is required to support clinical decision making. Machine learning (ML) may improve predictions by capturing nonlinear interactions between predictors, but whether it can be transported across healthcare settings is unknown. Given the limitation of Indonesian real-world evidence on ML-based prognostics for TBI, this stu...

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Literature Corpus work: 46d50581-41b0-5b6d-82bd-4966e2f42eb8
DOI: 10.21203/rs.3.rs-9834338/v1

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