Application of machine learning to predict delayed fecundability among women in sub-Saharan Africa

Delayed fecundability, defined as trying to conceive for ≥12 months without success, is a growing global concern due to the threat of fertility rates falling below the replacement level. This study aimed to predict delayed fecundability and identify influential predictors. Secondary data from recent...

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Bibliographic Details

Published in:	Reproduction and Fertility
Main Authors:	Meron Asmamaw Alemayehu, Nebiyu Mekonnen Derseh, Tigist Kifle Tsegaw, Tilahun Yemanu Birhan, Banchlay Addis, Berhanie Addis Ayele, Emebet Birhanu Lealem, Eyob Akalewold Alemu, Fetlework Gubena Arage, Gebrie Getu Alemu, Getaneh Awoke Yismaw, Habtamu Abebe Getahun, Habtamu Wagnew Abuhay, Mekuriaw Nibret Aweke
Format:	Article
Language:	English
Published:	Bioscientifica 2025-10-01
Subjects:	delayed fecundability infertility machine learning shap analysis subgroup analysis interpretable ai reproductive health pma data
Online Access:	https://raf.bioscientifica.com/view/journals/raf/6/4/RAF-25-0068.xml