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Berhanu Sharew

Dados Biográficos

ID7761898
NOMEBerhanu Sharew
PRENOMESBerhanu
SOBRENOMESharew
ASSINATURASHAREW B
AFILIAÇÕESUniversity of Gondar
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries

    Open Access•Mequannent Sharew Melaku, Lamrot Yohannes et al.•ARTICLE•BMC Public Health•2025

    Nearly six out of ten women received informed contraceptive choice, the magnitude is highest in Burkina Faso and lowest in Mali. Moreover, the highest spatial clustering of informed choice of contraceptive was observed in Burkina Faso while the lowest clustering was found in Angola. The LGBM classifier outperformed among machine learning algorithms and achieved 73% accuracy and an AUC of 0.80. Key factors influencing informed contraceptive choice…

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  • Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries

    Open Access•Mequannent Sharew Melaku, Lamrot Yohannes et al.•ARTICLE•BMC Public Health•2025

    Nearly six out of ten women received informed contraceptive choice, the magnitude is highest in Burkina Faso and lowest in Mali. Moreover, the highest spatial clustering of informed choice of contraceptive was observed in Burkina Faso while the lowest clustering was found in Angola. The LGBM classifier outperformed among machine learning algorithms and achieved 73% accuracy and an AUC of 0.80. Key factors influencing informed contraceptive choice…

Biostatistics (1 obras) · Demography (1 obras) · Demography (1 obras) · Developed country (1 obras) · Developing country (1 obras) · Economic growth (1 obras) · Environmental health (1 obras) · Family planning (1 obras) · Fertility (1 obras) · Global Maternal and Child Health (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae