Lung Cancer Prediction Using Machine Learning

Early Prediction of Lung Cancer through Machine Learning!

The Lung Cancer Prediction Using Machine Learning is the novel solution which helps in predicting the possibility of the occurrence of lung cancer in patients using Machine Learning. Using various data with patient data such as age, previous diagnosis/ treatment, and clinical test results, the said system can determine significant risk factors and trends with regard to lung cancer. This approach of data analysis experience boosts the level of diagnosis, helping the healthcare professionals make a right decision on the fate of the patients and all that requires to be done to them. Lung cancer is rapidly becoming a leading cause of death, that is why early detection is very important, and this system will be helpful for oncologists and other medical care specialists.

Besides, the Lung Cancer Prediction system has the following components: intuitive web-based GUI (Graphical User Interface) that enables medical practitioners to receive the risk assessment of the patient online and based on the input parameters included in the interface predictive analytics tools assess the risk of lung cancer. It provides clearer picture or concert agenda with risk analysis for simplified reports and analysis to describe patients’ general health condition. This system is built to learn from new data and get better with time which makes the prediction capability of the system very strong. Hence, by using of this machine learning tool in the clinical practice, physicians and surgeons can improve the identification of early stages of this pathology, and, therefore, the outlooks for the patients with lung cancer will be better.