Development and Internal Validation of Machine Learning Approach for Predicting 1-year Mortality after Fragility Hip Fracture

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20210222003

Enrollment

492

Registered

2021-02-22

Start date

2016-07-04

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

Fragility hip fracture Mortality Prediction Hip fracture

Interventions

Artificial neural network model was utilized to predict 1-year mortality after hip fracture,Logistic regression model was utilized to predict 1-year mortality after hip fracture

Diagnostic,Diagnostic

ANN group,LR group

Eligibility

Sex/Gender

All

Age

50 Years to No maximum

Inclusion criteria

Inclusion criteria: Fragility hip fracture patients, who aged more than 50 years and had a minimum follow-up time of 1 year or until death.

Exclusion criteria

Exclusion criteria: Multiple fractures or fractures caused by cancer confirmed by pathological study.

Design outcomes

Primary

Measure	Time frame
Mortality 1 year We tracked each patients from admission until 1 year to see whether the patient is alive at 1 year after hip fracture	—

Secondary

Measure	Time frame
N/A N/A N/A	—

Countries

Thailand

Contacts

Public ContactNitchanant Kitcharanant

Faculty of Medicine Siriraj Hospital

nk_win@hotmail.com66871071133

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026