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http://dspace.cityu.edu.hk/handle/2031/9343| Title: | Heart Disease Prediction Using Machine Learning Techniques |
| Authors: | Chan, Ho Lam |
| Department: | Department of Electrical Engineering |
| Issue Date: | 2020 |
| Supervisor: | Supervisor: Dr. Chan, Katie K H; Assessor: Dr. Sun, Yanni |
| Abstract: | The aim of this project is to develop a program to let everyone to predict potential heart diseases patients by R Studio. There are many people suffering from heart diseases all around the world. For those who have a high potential of suffering heart diseases should be on guard. This program predicts the heart diseases cases by using different machine learning methods. And the data set is collected from Kaggle. In this project, I am trying to use Decision Tree Classifier, Random Forest Classifier, Support Vector Classifier and K Neighbours Classifier to predict and compare the results. |
| Appears in Collections: | Electrical Engineering - Undergraduate Final Year Projects |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| fulltext.html | 148 B | HTML | View/Open |
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