ABSTRACT
Heart disease strikes everyone regardless of gender, age or weight. A survey by Ministry of health in 2015 has revealed that one in two Malaysians suffers from high cholesterol, which contributes to heart disease. As the principal cause of death with 13.2% in 2016, heart diseases seem to be worst from time to time. There should be a proper initiative to help in preventing this disease. Healthcare industry has a big amount of data collection but unfortunately, they are not mined properly to extract hidden pattern and relationship. Plus, Malaysians sometimes are too busy to keep up their regular checkup to ensure their health. Some might be short in time and some might be short in finance as the cost of clinical test might be burdening. There might also happen so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. Healthcare domain needs data mining technique to improve the efficiency of analytical methodology to detect and value the relationship within the health profile intelligently, in cheapest, fastest and safest way. In realizing this situation, a mobile application that uses a neural network technique will be used to map a set of input data onto a set of appropriate output data. It will help to generate highly accurate prediction result based on the relationships within some medical factors using only an application in your smartphone without having to go the hospital and spending money.
INTRODUCTION
Heart disease describes a range of conditions that affect your heart. It has been the leading cause of death in Malaysian since the early 1980s. According to the latest who data published in May 2014 coronary heart disease deaths in Malaysia reached 29,363 or 23.10% of total deaths, affecting all ages and both sexes. Heart disease had been the leading cause of death in 2016 with 13.2%. To prevent this heart disease from being spread wider, early diagnoses are needed. However, diagnosis is complicated and important task that needs to be executed accurately and efficiently. Since most people have limited time limitations, they have not been able to commit themselves to the health of their bodies.
Therefore, an automatic medical diagnosis application would be exceedingly beneficial. This is an attempt to present how artificial neural network techniques can be deployed to help in generating highly accurate prediction result using only a convenient click on a smartphone that would give user the same result for a fraction of the price and a fraction of the time.
PROBLEM STATEMENT
•People are not aware about the regular factors that can lead to heart disease even though it can be controlled by themselves
•Accumulated data from health industry are not properly mined to extract hidden information within it
•People might have some constraints such as short of time and finance to get a diagnosis
OBJECTIVES
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To determine the factor that lead to heart disease
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To predict the heart disease with its factors using data mining
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To develop a heart disease prediction mobile application that can help user to get instant prediction on their health
FRAMEWORK
ALGORITHM
In heart disease research, data mining technique have performed a significant role. From the different interpretation between the healthy persons and the heart diseased persons in the already existing medical data is an appreciable and great approach in the study of heart related disease classification to find the hidden medical information.
Data mining is the important stage of information discovery in databases, which is an extraction of implicit, unique, and potentially useful information from data. Neural network is popularly used to improve performance accuracy. Neural Network is good at generalizing data without domain knowledge of heart disease prior to training. In addition, by analyzing complex data, Neural Network makes it possible to discover new patterns and information related to heart disease.
RESULT
PROFILE
NAME: NUR LAILA NAJWA BT JOSDI
MATRIC NUMBER: BTCL15040390
COURSE: BACHELOR OF COMPUTER SCIENCE (INTERNET COMPUTING) WITH HONOURS
SUPERVISOR: EN MOHD KHALID BIN AWANG
INSTITUTE: UNIVERSITI SULTAN ZAINAL ABIDIN
EMAIL: laila455659@gmail.com
