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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0639Certified recordPeer-reviewed

Functional outcome prediction after traumatic cervical spinal cord injury using ensemble machine learning: a three‑center validation study

Background Traumatic cervical spinal cord injury (TCSCI) often causes severe neurological dysfunction. Accurate prediction of functional recovery is essential for clinical decision‑making and rehabilitation planning. Objective To develop an ensemble learning model integrating baseline clinical data, neurological assessments, and cervical MRI features to predict neurological recovery and functional outcomes at one year post‑injury in TCSCI patients. Methods We retrospectively collected data from 410 TCSCI patient…

Health · G Space — documented gain · certified 2026-08-04 · v1 · article view · machine-readable

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An ensemble Stacking model using baseline clinical, neurological, and MRI features predicted one-year AIS grade and motor/independence scores in TCSCI patients with high discrimination and low error on external testing.

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Truvace Impact Record TRV-2026-0639, v1: “Functional outcome prediction after traumatic cervical spinal cord injury using ensemble machine learning: a three‑center validation study.” Truvace, 2026-08-04. /record/TRV-2026-0639 (accessed at citation time). sha256 a0a66bfac7e1bea4…

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