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

NCT06704997 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2024-11-27

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Tan Tock Seng Hospital

    lead OTHER

Principal Investigators

  • Dr Karen Chua, MBBS · Tan Tock Seng Hospital

Eligibility

Min Age
21 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2025-12-31
Completion
2026-12-31

Countries

  • Singapore

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06704997 on ClinicalTrials.gov