# Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation

> **NCT06704997** · — · ACTIVE_NOT_RECRUITING · sponsor: **Tan Tock Seng Hospital** · enrollment: 10000 (estimated)

## Conditions studied

- Stroke
- Acquired Brain Injury
- Traumatic Brain Injury
- Brain Tumor
- Central Nervous System Infections
- Polytrauma

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06704997
- **Lead sponsor:** Tan Tock Seng Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2024-06-01
- **Primary completion:** 2025-12-31
- **Final completion:** 2026-12-31
- **Target enrollment:** 10000 (ESTIMATED)
- **Last updated:** 2024-11-27


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06704997

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06704997, "Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation". Retrieved via AI Analytics 2026-06-09 from https://api.ai-analytics.org/clinical/NCT06704997. Licensed CC0.

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