Predict Quality of Life of Patients with Coronary Heart Disease in Related to Risk Factors Using Data Mining Techniques

Abstract

There are numerous types of diseases identified worldwide and those are still emerging. New generations as well as older generations are suffering from these illnesses, which could be disastrous which could take lives sometimes. This situation occurs due to reasons such as lesser knowledge on the domain and inappropriate life styles. The Coronary Heart Disease (CHD) is one of the leading diseases, which diagnosed in many Sri Lankans. Nowadays, many number of individuals are spotted with this disease and number of patients suffers and live with the disease throughout their life. This study was proposed to find out the state of patients following CHD. The current situation of the patients, their weaknesses and expectations will be addressed and to find out whether they spend a quality life or not. Responsible institutions such as Hospitals, Medical Centers generate and use huge amount of data related to these diseases daily. These data could be used to educate illness and find solutions to heal or to control them in proper manner. Factors affecting on CHD and suitable data mining techniques were identified through a thorough study on the existing researches in the Sri Lankan context and globally. Based on the factors identified the data set was collected from a government hospital in Sri Lanka and sent through the process of data mining in order to discover knowledge by using the identified data mining techniques. A set of strong patterns and relationships among the data items were found and finally through a thorough discussion of the results found, the conclusion was developed as the patients following CHD has a good quality of life as they have a good mental and physical state.