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Retrospective cohort study evaluates diagnosing ectopic pregnancy using neural networks and Bayes theorem, indicating improved accuracy.
Objective: To evaluate the accuracy of neural networks and Naïve Bayes models in diagnosing ectopic pregnancy, using clinical data, hCG levels, and transvaginal ultrasound findings from a real dataset. Methods: This was a retrospective cohort study based on a public dataset of 2,495 first-trimester pregnant women with confirmed pregnancy under 13 weeks, documented transvaginal […]
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Maroni et al. (2026) studied this question.
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