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Explainable Machine Learning System For Lung Cancer Risk Prediction and Clinical Decision Support by Priyadarshan R is a document available to read on EtoBox.

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This document presents an explainable machine learning system designed for lung cancer risk prediction and clinical decision support, utilizing five classifiers and a dataset of 318 patients. The SVM model with an RBF kernel achieved the highest accuracy and recall, while SHAP and LIME were employed for interpretability of predictions. The system also features a web app interface that categorizes patients

Author

Priyadarshan R

Language

EN