Cancer risk factors dataset (2,000×21): lifestyle/environment/genetics + derived Overall_Risk_Score/Risk_Level with leakage note (ML & EDA-ready).
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Updated
Feb 8, 2026 - Python
Cancer risk factors dataset (2,000×21): lifestyle/environment/genetics + derived Overall_Risk_Score/Risk_Level with leakage note (ML & EDA-ready).
Cancer risk classification pipeline: leakage detection, Stratified CV (macro-F1), model benchmarking (LogReg/RF/Calibrated SVM/XGBoost), and interpretability (permutation importance).
Decision Support System for the Prevention of Human Exposome-related health Risks
Interactive Machine Learning platform for lung cancer risk assessment. Includes data preprocessing, exploratory analysis, predictive modeling and an interactive Streamlit dashboard for visualization and risk prediction.
🌍 Assess health risks from the human exposome with DeSSyPHER, a repository of dockerized Shiny applications for informed decision-making.
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