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http://dspace.cityu.edu.hk/handle/2031/9343Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chan, Ho Lam | en_US |
| dc.date.accessioned | 2020-11-17T08:06:05Z | - |
| dc.date.available | 2020-11-17T08:06:05Z | - |
| dc.date.issued | 2020 | en_US |
| dc.identifier.other | 2020eechl979 | en_US |
| dc.identifier.uri | http://dspace.cityu.edu.hk/handle/2031/9343 | - |
| dc.description.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. | en_US |
| dc.rights | This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. | en_US |
| dc.rights | Access is restricted to CityU users. | en_US |
| dc.title | Heart Disease Prediction Using Machine Learning Techniques | en_US |
| dc.contributor.department | Department of Electrical Engineering | en_US |
| dc.description.supervisor | Supervisor: Dr. Chan, Katie K H; Assessor: Dr. Sun, Yanni | en_US |
| 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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