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Berhanu Sharew

Datos Biográficos

ID7761898
NOMBREBerhanu Sharew
NOMBRESBerhanu
APELLIDOSharew
FIRMASHAREW B
AFILIACIONESUniversity of Gondar
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
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…

Sin obras prominentes en esta página.

  • 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae