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Accuracy of Machine Learning Algorithms for triage of patients suffering hip pathology. A validation study

Accuracy of Machine Learning Algorithms for triage of patients suffering hip pathology. A validation study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON28745
Enrollment
400
Registered
2019-12-13
Start date
2019-12-13
Completion date
Unknown
Last updated
2024-02-28

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

Conditions

Any hip complaints

Interventions

None listed

Sponsors

Department of orthopedic surgery
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients referred for hip complaints to the orthopedic surgeon who completed an online history taking questionnaire

Exclusion criteria

Exclusion criteria: Incomplete online history taking questionnaire; patients who failed to attend their scheduled appointment with the orthopedic surgeon

Design outcomes

Primary

MeasureTime frame
Accuracy (Area Under the Curve) for the ML algorithm

Secondary

MeasureTime frame
Patient satisfaction with ML prediction

Contacts

Public ContactWalter van der Weegen

St. Anna hospital

kog@st-anna.nl040-2864280

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)