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ACTIVE NOT RECRUITING
NCT06704997
Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation
Sponsor: Tan Tock Seng Hospital
View on ClinicalTrials.gov
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.
Official title: Machine Learning Predictive Analysis of Key Factors Influencing Rehabilitation Length of Stay (RLOS) and Direct Hospitalization Costs for Neurological Inpatient Rehabilitation at Tertiary Care Hospital
Key Details
Gender
All
Age Range
21 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2024-06-01
Completion Date
2026-12-31
Last Updated
2024-11-27
Healthy Volunteers
No
Conditions
Locations (1)
Tan Tock Seng Hospital
Singapore, Singapore