THE STUDY ON LUNG CANCER PREDICTION USING DATA MINING TECHNIQUES TOWARDS HDFS

The Lung cancer patients are at discriminating threat for COVID-19 and the reported far above the ground humanity time surrounded by lung cancer patients by way of COVID-19 has prearranged break in proceedings to oncologists who are faced through patients in the midst of not one, but two cruel, living-frightening diseases. To facilitate oncologists concentrate on the numerous challenges COVID-19-positive lung cancer patients present, a lineup of global lung cancer "The purpose of this manuscript is to present a practical multidisciplinary and international overview to assist in treatment for lung cancer patients during this pandemic, with the caveat that evidence is lacking in many areas," the Lung cancer is the hysterical enlargement of abnormal cells with the intention of start in one or both lungs. Early detection of Covid-19 is not an easier process to analyze lung cancer patient and confront the public with much pain. In this sense, to introduce k-means, decision tress and hierarchical structure for early warning detection of lung cancer. This leads to improved targeted and custom-made healthcare solutions for cancer patients. The booming implementation of the human being genome scheme has led people to understand that genetic, environmental, and life factors be required to be collective to cram cancer because of its complication. The main objective of this document is to make available a prior warning to users and an analysis of the performance of classification algorithms.