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Active Not Recruiting NCT06704997

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

Conditions: Stroke, Acquired Brain Injury, Traumatic Brain Injury, Brain Tumor, Central Nervous System Infections, Polytrauma

Sex: All

Ages: 21 Years – 100 Years

Healthy volunteers: No

Enrollment: 10000

Sponsor: Tan Tock Seng Hospital

Location: Tan Tock Seng Hospital Singapore

Summary

The aim of this retrospective study is to ascertain total direct costs, rehabilitation length of stay (RLOS) and factors associated with RLOS for neurological inpatient rehabilitation at the tertiary care hospital.

Eligibility Criteria

Inclusion Criteria: • All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries Exclusion Criteria: • Did not complete inpatient rehabilitation as they are discharged against medical advice

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT06704997). StuddyBuddy aggregates publicly available trial information.