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 and insights in the Data Science Projects category.
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.