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Lung Cancer Research Paper

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Abstract— Cancer is the most important cause of death for both men and women. Earlier diagnosis of Lung Cancer saves enormous lives, failing which may lead to other severe problems causing sudden death. Its cure rate and prediction depends mainly on the early detection and diagnosis of the disease. Examine the potential use of classification based data mining techniques such as Rule based, Decision tree, naive bayes and Artificial Neural Network to massive volume of healthcare data. It is an extension of naive bayes to imprecise probabilities that aims at delivering robust classifications also when dealing with small or incomplete data sets. Diagnosis of Lung Cancer Disease can answer complex what if queries which traditional decision support …show more content…
• Small cell lung cancer (SCLC) or oat cell cancer.
Each type of lung cancer grows and spreads in different ways, and is treated differently. If the cancer has features of both types, it is called mixed small cell/large cell cancer. Non-small cell lung cancer is more common than SCLC and it generally grows and spreads more slowly. SCLC is almost related with smoking and grows more quickly and form large tumors that can spread widely through the body.
The Lung cancer death rate is related to total amount of cigarette smoked. Smoking cessation, diet modification, and chemoprevention are primary prevention activities. Screening is a form of secondary prevention. Here consider a method of finding the possible Lung cancer patients is based on the systematic study of symptoms and risk factors. Non-clinical symptoms and risk factors are some of the generic indicators of the cancer diseases. The complexity of human cancer causes is especially challenging for cancers with long latency, which are associated with exposure to ubiquitous environmental carcinogens.
II. PRE-DIAGNOSIS TECHNIQUES FOR DATA MINING:
Pre-diagnosis helps to identify or narrow down the possibility of screening for lung cancer …show more content…
With the growth in population and disease, there is need to include data mining in the field of health care industry. shown that cancer is one of the widespread diseases leading to fatal death today. Among them, lung cancer and breast cancer accounts the most. It has been found that if the disease is being diagnosed at an early stage, the survival rate of the patient could be improved but most of the time the disease is being diagnosed at a later stage. This paper proposes a methodology using a data mining which could predict the lung cancer at an early stage thereby increasing the survival rate of the patient by five years. The tool works intelligently in pre-diagnosing lung cancer based at Stage 1. This tool is constructed by making use of Artificial Neural

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