On the interpretability of the SVM model for predicting infant mortality in Bangladesh.
| Publicado en: | Journal of Health, Population & Nutrition Vol. 43; no. 1; pp. 1 - 17 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
10/27/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180905415&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180905415 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16060997 HII jtl: Journal of Health, Population & Nutrition issn: 16060997 maglogo: N pubinfo: dt: 10/27/2024 vid: 43 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 180905415 10.1186/s41043-024-00646-9 180905415 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: On the interpretability of the SVM model for predicting infant mortality in Bangladesh. aug: au: Sayeed, Md Abu Rahman, Azizur Rahman, Atikur Rois, Rumana affil: https://ror.org/04ywb0864 Department of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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