Tarekegn Cheklie Zeleke
Dados Biográficos
| ID | 7800939 |
|---|---|
| NOME | Tarekegn Cheklie Zeleke |
| PRENOMES | Tarekegn Cheklie |
| SOBRENOME | Zeleke |
| ASSINATURA | ZELEKE T C |
| AFILIAÇÕES | University of Gondar |
| ORCID | 0000-0002-6120-3552 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis
The findings highlight the potential of machine learning to identify critical predictors of skilled birth attendance to inform targeted interventions. Addressing socioeconomic and educational disparities, enhancing healthcare access, and implementing tailored cessation programs are crucial to enhance skilled birth attendance in this vulnerable population
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Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis
The findings highlight the potential of machine learning to identify critical predictors of skilled birth attendance to inform targeted interventions. Addressing socioeconomic and educational disparities, enhancing healthcare access, and implementing tailored cessation programs are crucial to enhance skilled birth attendance in this vulnerable population
Artificial Intelligence (1 obras) · Attendance (1 obras) · Computer Science (1 obras) · Demography (1 obras) · Demography (1 obras) · Developing country (1 obras) · Economic growth (1 obras) · Environmental health (1 obras) · Global Health Care Issues (1 obras) · Global Maternal and Child Health (1 obras)