Machine Learning for Predicting In-Hospital Mortality After Traumatic Brain Injury in Both High-Income and Low- and Middle-Income Countries
CONCLUSION:
We developed high-performing well-calibrated ML models for predicting in-hospital mortality for both the HIC and LMIC settings that have the potential to influence clinical management and traumatic brain injury patient trajectories.
Source: Neurosurgery - Category: Neurosurgery Tags: Research—Human—Clinical Studies: Neurotrauma Source Type: research
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