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Keyword: cost-aware risk stratificationOpen AccessArticle
27 Pages, 2,053 KB 
A Step Toward the Use of AI for Polyendocrine Metabolic Ovarian Syndrome (PMOS): Cost-Aware Risk Stratification with UncertaintyAware Triage and Conformal Prediction
by Adewale Alex Adegoke, Idris Babalola and Peter Adebayo Odesola
Journal of Engineering Research and Sciences, Volume 5, Issue 8, Page # 1-27, 2026; DOI: 10.55708/js0508001
Abstract: Polyendocrine metabolic ovarian syndrome (PMOS) previously known as Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age, yet its diagnosis remains challenging because accurate assessment often depends on investigations that are costly, less accessible, and difficult to scale in resource-constrained clinical settings. We develop and assess a cost-aware modelling framework… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))