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Almamy Amara Toure

Biographic Data

ID9992864
NAMEAlmamy Amara Toure
GIVEN NAMESAlmamy Amara
FAMILY NAMEToure
SIGNATURETOURÉ A A
AFFILIATIONSGamal Abdel Nasser University of Conakry
ORCID0000-0001-8859-5667
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Implementing a machine learning model to predict continuation of contraception among women aged 15–49

    Open Access•Aboubacar Sidiki Magassouba, Abdourahmane Diallo et al.•ARTICLE•Reproductive Health•2026

    BACKGROUND: Contraceptive continuation is crucial for assessing the quality and effectiveness of family planning programs, yet it remains challenging, particularly in sub-Saharan Africa. Traditional statistical methods may only partially capture complex relationships and interactions among variables. Machine learning, an artificial intelligence domain, offers the potential to handle large and intricate datasets, uncover hidden patterns, make accu…

  • Factors associated with the use of long-lasting insecticide-treated mosquito nets among women of childbearing age

    Open Access•Thierno Ibrahima Diallo, Almamy Amara Toure et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Malaria is endemic in Guinea. The use of mosquito nets by women of childbearing age helps protect children under five from malaria. Aim: To estimate the proportion of mosquito nets use and identify the factors explaining that use among women aged 15 to 49 in four regions of Guinea. Setting: The study was carried out in Guinea specifically in Conakry, Boke, Kindia, and Labe regions. Methods: We conducted a secondary analysis of a 2023 …

No prominent works on this page.

  • Implementing a machine learning model to predict continuation of contraception among women aged 15–49

    Open Access•Aboubacar Sidiki Magassouba, Abdourahmane Diallo et al.•ARTICLE•Reproductive Health•2026

    BACKGROUND: Contraceptive continuation is crucial for assessing the quality and effectiveness of family planning programs, yet it remains challenging, particularly in sub-Saharan Africa. Traditional statistical methods may only partially capture complex relationships and interactions among variables. Machine learning, an artificial intelligence domain, offers the potential to handle large and intricate datasets, uncover hidden patterns, make accu…

  • Factors associated with the use of long-lasting insecticide-treated mosquito nets among women of childbearing age

    Open Access•Thierno Ibrahima Diallo, Almamy Amara Toure et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Malaria is endemic in Guinea. The use of mosquito nets by women of childbearing age helps protect children under five from malaria. Aim: To estimate the proportion of mosquito nets use and identify the factors explaining that use among women aged 15 to 49 in four regions of Guinea. Setting: The study was carried out in Guinea specifically in Conakry, Boke, Kindia, and Labe regions. Methods: We conducted a secondary analysis of a 2023 …

Antioxidant Activity and Oxidative Stress (1 work) · Bed nets (1 work) · Child Nutrition and Water Access (1 work) · Continuation (1 work) · Family planning (1 work) · Global Maternal and Child Health (1 work) · Hyperparameter (1 work) · Logistic regression (1 work) · Malaria (1 work) · Malaria Research and Control (1 work)

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