dc.contributor.advisor |
|
|
dc.contributor.author |
Jayawardana, Nipuna Lakmal |
|
dc.date.accessioned |
2019-02-19T18:47:19Z |
|
dc.date.available |
2019-02-19T18:47:19Z |
|
dc.date.issued |
2018 |
|
dc.identifier.citation |
Jayawardana, N. L. (2018) Intelligent Heart Disease Predictor. BSc. Dissertation. Informatics Institute of Technology |
en_US |
dc.identifier.other |
2014086 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/133 |
|
dc.description.abstract |
Due to bad eating habits, lack of exercising, smoking stress etc. factors majority of people all around
the world is in danger of facing critical diseases such as diabetes, blood pressure and heart diseases.
Majority of people get overweight and almost 30% of all the people above 20 years are overweight.
These factors raise the issues of heart diseases such as strokes; cardiovascular diseases. According
to studies, heart disease is number 1 cause of death in the world. Study shows that heart disease
accounts 1 in 7 deaths in United States. This is due to life style and busy nature of people. People
simply don’t have time to consult a doctor do a diagnostic and they usually ignore disease. Now a
day’s even young people are diagnosed with cardiovascular diseases. Because of that each and
every person need to monitor and care for their personal health. To overcome these problems
heart disease prediction tool was create using machine learning and big data analysis which is
capable of predicting risk of accumulating coronary heart disease in 10 years and availability of
heart diseases according to provided data by the user. |
en_US |
dc.subject |
Heart disease |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.title |
Intelligent Heart Disease Predictor |
en_US |
dc.type |
Thesis |
en_US |