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Machine Learning Miscarriage Management Clinical Decision Support Tool Study
Sponsor: Imperial College London
Summary
Machine learning used to develop an algorithm to determine chance of success with expectant or medical management for an individual patient. Taking into account the following objective measures: * Demographics: Maternal Age, Parity * History: Previous CS, Previous SMM/MVA, Previous Myomectomy * Gestation by LMP * Presenting symptoms: Bleeding score, Pain score * USS Measurements: CRL, GS, RPOC 3 dimensions, Vascularity * Discrepancy between gestation by CRL and LMP Audit to collate 1000 cases and identify features contributing to an algorithm that can predict outcome of miscarriage management for individualized case management.
Key Details
Gender
FEMALE
Age Range
16 Years - 55 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2023-01-01
Completion Date
2026-06-01
Last Updated
2024-04-25
Healthy Volunteers
Yes
Conditions
Interventions
Expectant Management of First Trimester Miscarriage
Expectant Management: Conservative management if miscarriage with follow-up booked in 2 weeks to determine whether complete miscarriage has occurred.
Medical Management of First Trimester Miscarriage
Medical Management: Misoprostol taken to manage first trimester miscarriage, with follow-up booked in 2 weeks to determine whether complete miscarriage has occurred.
Locations (1)
Imperial College Heatlhcare NHS Trust
London, United Kingdom