PCOS Prediction Using Machine Learning: A Comprehensive Analysis
Building and evaluating machine learning models to predict Polycystic Ovary Syndrome (PCOS) using clinical and biochemical features, achieving high accuracy for early diagnosis.
Articles, tutorials, and insights about data science, machine learning, and analytics. Sharing knowledge and experiences from my work in healthcare, sustainability, and business intelligence.
Building and evaluating machine learning models to predict Polycystic Ovary Syndrome (PCOS) using clinical and biochemical features, achieving high accuracy for early diagnosis.
Leveraging Python, RDFLib, and standard medical ontologies (SNOMED-CT, LOINC) to transform tabular Chronic Kidney Disease data into a structured Knowledge Graph, highlighting data integration and problem-solving.
Discover how a custom big data system helps SPAR analyze promotional effectiveness, basket size, and cannibalization effects using Apache Spark and advanced analytics.
Discover the process behind creating a Power BI dashboard to monitor Foot Locker's chatbot performance, focusing on key metrics like deflection rate and escalations, and the valuable lessons learned.
Follow the journey of integrating two distinct CRM systems at Wageningen University & Research to enhance customer experience, boost efficiency, and drive cross-selling opportunities between Wageningen Academy and Professional Education.
Discover how Wageningen University & Research crafted its CRM Plan 2023—a strategic roadmap to break down silos, optimize data structures, and enable data-driven marketing for deeper customer insights and cross-selling opportunities.