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Fabian Schreuder
· Fabian Schreuder · Data Science Projects
Leveraging Machine Learning for Early PCOS Detection and Key Factor Identification
Applied Random Forest and Logistic Regression to predict Polycystic Ovary Syndrome (PCOS) from clinical data, achieving high accuracy and identifying key predictive factors like Follicle Number and Cycle regularity. This project highlights AI's potential in enhancing early diagnosis for better patient outcomes.