Application of Machine Learning in Cancer Prediction

Abstract

Article set lung cancer as the background, and the significance of the topic is more accurate prediction of lung cancer data, and it consists of the lung cancer and the development of tumors. The impact of lung cancer on patients and the surrounding society is comprehensive and requires multi-faceted support and attention. Early prevention, early diagnosis, and comprehensive treatment can reduce the negative impact of lung cancer. This article uses machine learning methods to assist the medical sector in detecting lung cancer, and this method is more efficient and accurate compared to the traditional way. The result shows that in the context of big data, predicting and diagnosing lung cancer based on machine learning can not only improve the accuracy of diagnosing lung cancer but also become a major trend in testing and developing treatment plans for each individual. This research can provide details for related experiments and provide a novel path for the medical department.