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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models

Abstract Objective To determine whether readily available patient, ultrasound and treatment outcome data can be used to develop, validate and externally test two machine learning (ML) models for predicting the success of expectant and medical management of miscarriage respectively. Methods A retrosp...

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Principais autores: Sughashini Murugesu, Kristofer Linton-Reid, Emily Braun, Jennifer Barcroft, Nina Cooper, Margaret Pikovsky, Alex Novak, Nina Parker, Catriona Stalder, Maya Al-Memar, Srdjan Saso, Eric O. Aboagye, Tom Bourne
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-02-01
Serier:BMC Pregnancy and Childbirth
Fag:
Miscarriage
Expectant management
Medical management
Machine learning
Online adgang:https://doi.org/10.1186/s12884-025-07283-y
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