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).
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.
Decision Support System for the Prevention of Human Exposome-related health Risks
Published review paper on heavy metals and cancer risk
🌍 Assess health risks from the human exposome with DeSSyPHER, a repository of dockerized Shiny applications for informed decision-making.
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