Post by Fentahun Bikale Kebede

🎉 Excited to share a double publication milestone! I'm delighted to share that two of our research articles have been published in a Q1 journal, both focusing on the application of machine learning to address important public health challenges using DHS data. 📄 Predicting Lifetime Cervical Cancer Screening Among Sexually Active Women in Low- and Middle-Income Countries Using Machine Learning Models: Evidence from Demographic and Health Surveys 🔗 https://lnkd.in/erpyUZGZ 📄 A Machine Learning Analysis of Perceived Healthcare Access Barriers Among Women of Reproductive Age in Sub-Saharan Africa: Using Demographic and Health Surveys 🔗 https://lnkd.in/eE_UWrZw These studies highlight how machine learning can support evidence-based decision-making to improve women's health and healthcare access in resource-limited settings. My sincere thanks to my co-authors and collaborators for their valuable contributions. I hope these findings contribute to ongoing efforts to strengthen public health research and policy. Federal Ministry of Health Ethiopia #MachineLearning #ArtificialIntelligence #PublicHealth #GlobalHealth #WomensHealth #CervicalCancer #HealthcareAccess #DHS #Research #DataScience