Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers - Meena, Jaishree; Hasija, Yasha (Computers in biology and medicine, 2022)
Keywords: Algorithms; Artificial intelligence; Biomarkers; Cancer; Data analysis; Decision making; Deep learning; Explainable AI; Explainable artificial intelligence; Game theory; Gene expression; Genes; Internal Medicine; Machine learning; Medical diagnosis; Medical research; Melanoma; Metabolites; Neural networks; Other; Principal component analysis; SHAP values; Skin; Skin cancer; Squamous cell carcinoma; XGBoost machine learning classifier; XAI; Squamous cell carcinoma; SHAP; SHAP values; RMA; GO; XGBoost machine learning classifier; AK; PCA; SCC; Explainable AI; XGBoost; Machine learning; Principal component analysis; ML; Explainable Artificial Intelligence; Robust MultiArray Average; Extreme Gradient Boosting; Actinic Keratosis; Shapley Additive Explanations; Gene Ontology