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Advanced Lung Cancer Survival Prediction System

Mr. P.R. Ugale, Arjun Bhosle, Anamika Sable, Namrata Shirsath, Ajinkya Thorat

Abstract


This study presents an advanced survival prediction system for lung cancer patients, leveraging machine learning algorithms and clinical data to improve prognostic accuracy. A rigorous process of experiments and comparative analysis allowed these models to speak through the data and demonstrate predictive power and flaws. These results are substantial for provider providers. Therefore, the aim of this study is to improve the clinical decision process, leading to increased patient outcomes and more effective use of resources in health care in the treatment of lung cancer.  These results are substantial for provider providers. Therefore, the aim of this study is to improve the clinical decision process, leading to increased patient outcomes and more effective use of resources in health care in the treatment of lung cancer.


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