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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42216193 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mia+M%22">Mia M</searchLink>; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Akter+S%22">Akter S</searchLink>; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Sraboni+TN%22">Sraboni TN</searchLink>; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Islam+MM%22">Islam MM</searchLink>; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Tawabunnahar+M%22">Tawabunnahar M</searchLink>; Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, 2224, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Maniruzamman+M%22">Maniruzamman M</searchLink>; Statistics Discipline, Khulna University, Khulna, 9208, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Hossain+MG%22">Hossain MG</searchLink>; Health Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain95@yahoo.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101224380%22">Reproductive health</searchLink> [Reprod Health] 2026 May 29; Vol. 23 (1). <i>Date of Electronic Publication: </i>2026 May 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101224380 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1742-4755 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217424755%22">17424755 </searchLink><i>NLM ISO Abbreviation: </i>Reprod Health <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42216193 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12978-026-02367-0 Languages: – Code: eng Text: English Titles: – TitleFull: Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mia M – PersonEntity: Name: NameFull: Akter S – PersonEntity: Name: NameFull: Sraboni TN – PersonEntity: Name: NameFull: Islam MM – PersonEntity: Name: NameFull: Tawabunnahar M – PersonEntity: Name: NameFull: Maniruzamman M – PersonEntity: Name: NameFull: Hossain MG IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 05 Text: 2026 May 29 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1742-4755 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Reproductive health Type: main |
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