{
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  "affiliations": [
    "Institute of Public Health,College of Medicine and Health Sciences, United Arab Emirates University , ,",
    "Mechanical and Aerospace Engineering Department, College of Engineering, United Arab Emirates University , ,",
    "Physics Department, College of Sciences, United Arab Emirates University , ,",
    "Infectious Diseases Epidemiology Research Advancement Unit (IDERA), Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University , ,",
    "The Global Institute for Disease Elimination , ,",
    "Mathematical Department, College of Sciences, United Arab Emirates University , ,"
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      "name": "Rami AlRifai"
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      "name": "Farida Alhosani"
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      "name": "Abdessamad Tridane"
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  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13655114/pdf/?tool=EBI",
  "pmcid": "PMC13655114",
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  "published": "2026-10-16",
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  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:2296-2565",
      "subfield": "epidemiology-public-health"
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  ],
  "title": "Machine learning–based ecological prediction of maternal mortality ratio in malaria-endemic Africa",
  "title_text": "Machine learning–based ecological prediction of maternal mortality ratio in malaria-endemic Africa",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:29Z",
  "url": "https://research.draconitic.com/paper/c6f837tx1z6z5",
  "venue": "Frontiers in public health",
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