Abstract
As the amount of data is growing day by day, there is a high requirement to extract knowledge from the data. With the growth in population and disease, there is need to include data mining in the field of health care industry. Studies have 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. Deaths due to Lung cancer are about 1.4 million per year worldwide. Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of cancer prevention. However, this is a multi-layered problem. Therefore a cancer risk prediction system is here proposed which is easy, cost effective and time saving. This research paper analyzes how data mining techniques and image processing techniques are used for predicting and diagnosing major life threatening lung cancer disease.
Keywords
Association rules
Clustering
Classification Cancer Survey
Data Mining
Medical Image Processing
Authors
How to Cite this Article
Dr.R.Hemalatha, K.Devipriya, L.Subathra devi (2017).
"AN EARLY DIAGNOSIS AND DETECTION OF LUNG CANCER DISEASE USING DATA MINING AND MEDICAL IMAGE PROCESSING METHODS".
International Journal of Contemporary Research in Computer Science and Technology,
3(5), pp. 13-16.
