Predictive analytical model for ectopic pregnancy diagnosis: Statistics vs. machine learning

Predictive analytical model for ectopic pregnancy diagnosis: Statistics vs. machine learning

ObjectiveEctopic pregnancy (EP) is well known for its critical maternal outcome. Early detection could make the difference between life and death in pregnancy. Our aim was to make a prompt diagnosis before the rupture occur. Thus, the predictive analytical models using both conventional statistics a...

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Bibliographic Details
Main Authors: Ploywarong Rueangket, Kristsanamon Rittiluechai, Akara Prayote
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Medicine
Subjects:
ectopic pregnancy
pregnancy of unknown location
machine learning
neural networks
decision tree and support vector machines
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.976829/full

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https://www.frontiersin.org/articles/10.3389/fmed.2022.976829/full

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