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Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys | BMC Infectious Diseases
  • Learning methods

Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys | BMC Infectious Diseases

admin November 16, 2025 0

Study design, setting and data sourcesThis study employed a cross-sectional design using nationally representative, population-based surveys conducted in sub-Saharan Africa...

Read MoreRead more about Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys | BMC Infectious Diseases
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health
  • Learning methods

Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health

admin November 8, 2024 0

Apovian CM, Obesity: definition, comorbidities, causes, and Burden. Am J Managed Care. 2016;22:s176–85.World Health Organization. Obesity and its root causes....

Read MoreRead more about Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health

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Machine learning-assisted mapping of VT ablation targets: progress and potential
  • Learning methods

Machine learning-assisted mapping of VT ablation targets: progress and potential

admin January 21, 2026 0
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  • Online Learning Platforms and Technologies

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