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Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022.

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Title: Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022.
Authors: Mia M; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh., Akter S; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh., Sraboni TN; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh., Islam MM; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh., Tawabunnahar M; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh., Maniruzamman M; Statistics Discipline, Khulna University, Khulna, 9208, Bangladesh., Hossain MG; Health Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain95@yahoo.com.
Source: Reproductive health [Reprod Health] 2026 May 29; Vol. 23 (1). Date of Electronic Publication: 2026 May 29.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101224380 Publication Model: Electronic Cited Medium: Internet ISSN: 1742-4755 (Electronic) Linking ISSN: 17424755 NLM ISO Abbreviation: Reprod Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1742-4755
DOI:10.1186/s12978-026-02367-0