Change search
ReferencesLink to record
Permanent link

Direct link
Early screening diagnostic aid for heart disease using data mining: An evaluation using patient data that can be obtained without medical equipment
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Heart disease is the leading cause of death in the world. Being able to conduct an early screening diagnosis of heart disease at home, could potentially be a tool to reduce the amount of people who lose their lives to the disease in the future.

This report aims at investigating if an early screening diagnostic aid using no attributes requiring advanced medical equipment to be measured can be created, that acquires the same level of accuracy as previous data sets and studies. A litera- ture study of medical background, patient data sets and attributes, as well as data mining was conducted. A unique home data set consisting of attributes that can be obtained from home was created and data mining experiments were run in WEKA, using classification algorithms Naive-Bayes and Decision Trees.

The results are compared to the Cleveland data set in regards to accuracy. The study shows that the home data set does not deliver the same accuracy level as the Cleveland data set. The idea that similar accuracy can be obtained for the dierent sets has not been disproven and more exhaustive research is encouraged. 

Place, publisher, year, edition, pages
National Category
Computer Science
URN: urn:nbn:se:kth:diva-166593OAI: diva2:811547
Available from: 2015-05-12 Created: 2015-05-12 Last updated: 2015-05-12Bibliographically approved

Open Access in DiVA

fulltext(4442 kB)357 downloads
File information
File name FULLTEXT01.pdfFile size 4442 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 357 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 382 hits
ReferencesLink to record
Permanent link

Direct link