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Keywords:: Article Info by Ahmad Habboush is a document available to read on EtoBox.

This study presents an innovative method for predicting lung cancer using a dataset of 1000 individuals, employing advanced machine learning models such as Support Vector Machines, Naïve Bayes, KNN, PART, and Random Forest. The research highlights the successful integration of IoT technology for real-time health monitoring, achieving a remarkable accuracy of 91% with the PART model, which outperformed other models. This approach aims to enhance early detection and personalized risk assessments, potentially

Author

Ahmad Habboush

Language

EN