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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主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2025-02-01
シリーズ:	BMC Pregnancy and Childbirth
主題:	Miscarriage Expectant management Medical management Machine learning
オンライン･アクセス:	https://doi.org/10.1186/s12884-025-07283-y
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