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East Africa ML by mulukenb21 is a document available to read on EtoBox.
What is East Africa ML about?
This research identifies predictors of delayed antenatal care initiation among pregnant women in East Africa using machine learning algorithms. The study found that factors such as low household income, unemployment, and rural residence contribute to delays in antenatal care, with a high prevalence of late initiation at 65%. Recommendations include promoting family planning and expanding access to healthcare services to improve timely antenatal care initiation.
- Author
- mulukenb21
- Language
- EN