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Predictive performance of Data Mining on In-patient falls at an International Hospital

Predictive performance of Data Mining on In-patient falls at an International Hospital

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20171004005
Enrollment
Unknown
Registered
2017-10-04
Start date
2014-01-01
Completion date
Unknown
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Patient falls after admitted Supervised Machine Learning Falls Patient Compliance

Interventions

Patients who were admitted at Bumrungrad International Hospital during 2014&#45
2016.
Health Services Research
In&#45
patients in the registry

Sponsors

Nil
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: In-patients

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
Patient Compliance After admitted Falls rate,Patient Compliance After diagnosis was made Treatment decision—

Secondary

MeasureTime frame
์N/A ์N/A ์N/A—

Countries

Thailand

Contacts

Public ContactPanissara Onlamoon

Bumrungrad International Hospital

panissarao@bumrungrad.com+66863611579

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Apr 4, 2026