Predicting abnormal birth weight and identifying associated factors using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia.

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Bibliographic Details
Title: Predicting abnormal birth weight and identifying associated factors using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia.
Authors: Abdeta S; College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia. singtonabdeta128@gmail.com., Diop O; The Institute for Health Research, Epidemiological Surveillance and Training (IRESSEF), Dakar, Senegal., Cygu S; African Population and Health Research Center (APHRC), Nairobi, Kenya., Drame A; Ministry of Health, Dakar, Senegal., Momanyi R; African Population and Health Research Center (APHRC), Nairobi, Kenya., Endalamaw Dejene B; University of Gondar, Gondar, Ethiopia.; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Tadele M; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Sintayehu Y; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Barasa M; African Population and Health Research Center (APHRC), Nairobi, Kenya., Woldie M; Fenot Associates, Addis Ababa, Ethiopia., Girma T; Fenot Associates, Addis Ababa, Ethiopia., Tsegaye R; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Kiragga A; African Population and Health Research Center (APHRC), Nairobi, Kenya., Adnew B; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Howe R; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia., Dheresa M; College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia., Abdisa A; Armauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Source: BMC public health [BMC Public Health] 2026 Jun 30. Date of Electronic Publication: 2026 Jun 30.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2458
DOI:10.1186/s12889-026-28135-0