ANALYSING DATA MINING TECHNIQUES IN THE HEALTHCARE SECTOR: PREDICTION OF HEART DISEASE

Abstract

Today, the Healthcare sector is generating bulks of data be it from the medical history of the patients to their personal details, their clinical data, or the genetic data. Electronic Health Records (EHR), the medical data, is very complex and varied and hence cannot be processed using the traditional manual tools. Hence, Data Mining Analysis is used extensively in the Healthcare Industry to uncover the hidden patterns and relationships to study the similarity between patients, identify their symptoms and diagnose the disease at an early stage so that proper treatment could be given to the patients well in time. Today, Heart Diseases are very common and can lead to the risk of life. Due to the lack of extensive medical facilities and resources in the healthcare sector, it is very important to diagnose the risk factors leading to cardiovascular disease. This paper reviews and compares the work done by the different researchers and highlights the various risk factors that can cause heart problems and apply the different data mining algorithms that can be used to diagnose the early symptoms so that the disease can be cured.