The effectiveness of machine learning model in prediction of blood transfusion probability in Bipolar Hemiarthroplasty hip replacement surgery

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20251027002

Enrollment

100

Registered

2025-10-27

Start date

2021-01-01

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

Fracture neck of femur AI, Fracture neck of femur, Web application, Blood tranfusion

Interventions

Patient require blood tranfusion during operation or post-operation within 7 days

Health Services Research

Patient require Blood transfusion

Eligibility

Sex/Gender

All

Age

50 Years to 100 Years

Inclusion criteria

Inclusion criteria: Patients with fracture neck of femur

Exclusion criteria

Exclusion criteria: refuse to sugery Bipolar hemiarthroplasty Severe medical complication

Design outcomes

Primary

Measure	Time frame
Blood transfusion intraoperative and post-operative within 7 days Requirement for blood transfusion	—

Secondary

Measure	Time frame
performance of model within one year area under the ROC curve	—

Countries

Thailand

Contacts

Public ContactPolasan Santapipatkul

MPOH

polasants@gmail.com034427099

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 10, 2026