Alternating decision trees for early diagnosis of heart disease

Proceedings of International Conference on Circuits, Communication, Control and Computing, I4C 2014

Volumn , Issue , 2014, Pages 322-328

  Jabbar, M A ^a   Deekshatulu, B L ^b   Chndra, Priti ^c  

^a AEC ^*  (India)

^b INSTITUTE FOR DEVELOPMENT AND RESEARCH IN BANKING TECHNOLOGY   (India)

^c DRDO   (India)

Author keywords

Alternating decision trees; Classification; Data mining; Heart disease; PCA

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); COST EFFECTIVENESS; DATA MINING; DECISION SUPPORT SYSTEMS; DECISION TREES; DISEASES; HEART; LEARNING SYSTEMS; TREES (MATHEMATICS);

ALTERNATING DECISION TREES; CLASSIFICATION RULES; CLINICAL DECISION SUPPORT SYSTEMS; CLINICAL DECISION SYSTEM; DATA MINING METHODS; HEALTH CARE PROFESSIONALS; HEART DISEASE; PCA;

DIAGNOSIS;

EID: 84988295458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2014.7057816     Document Type: Conference Paper

References (24)

1. India today, "India's No 1 killer; Heart disease" April 12(2000)
2. Sevith Rao," Cardiac disease among south Asians: A silent epidemic Indian heart association" (last accessed 30/5/2014)
3. Vikas chaurasia and saurab pal," Data mining approach to detect heart disease" IJACSIT, Vol no 2, no 4, pp56-66(2013)
4. Kuang Yu Liu et al, "Boosting alternating decision trees modeling of disease trait information" Bio med central, pp 1to 6, Published (30/12/2005)
5. Sam roweis," Meta learning methods"(15/11/2003)
6. Nikenj C Oza," Ensemble data mining methods", NASA research centre, USA (last accessed 30/5/2014)
7. Eam J H et al, "APTACDSS-E: A classifier ensemble based clinical decision support system for cardiovascular disease level prediction Expert System with applications", (2007)
8. Beule et al, "Artificial neural network and risk stratification, A promising combination" mathematical and computer modeling pp88-94, (2007)
9. Tantimongcolwat et al, "Identification of Ischemic heart disease via machine learning analysis on magnetocardiograms"Computers in biology and Medicine pp 817-825, 38(7), (2008)
10. Ambarasi et al, "Enhanced prediction of heart disease with feature subset selection using genetic algorithm", IJECT, pp 5370-5376(2010)
11. Andreeva P," Data modeling and specific rule generation via data Mining techniques"ICCSTC (2006)
12. A VSitar taut et al, "Using machine learning algorithms in CVD risk evaluation", JACSM No 5(3), (2009)
13. Tu M C, Shin et al, "Effective diagnosis of heart through bagging approach", Bio medical Engineering and Informatics, IEEE(2009)
14. Mohammed subhi al-batha, "Testing the probability of heart disease using classification and regression tree model" Annual research and review in Biology, 4(11), 1713-1725 (2014)
15. M.A Jabbar, Deekshatulu, Priti Chandra, "Classification of Heart Disease Using K-Nearest Neighbor and Genetic Algorithm", ELSEVIER, Procedia Technology 10, 85-94(2013)
16. M.A Jabbar, Deekshatulu, Priti Chandra, "Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection", GJCST, Vol 13, issue 3, version1.0 pp15-25(2013)
17. th ICM Bled, Slovenia, pp 124-133(1999)
18. MedCalc, "www.medcalc.org"last accessed on (5/6/2014)
19. Swathi shilaskar et al, ""Dimensionality Reduction Techniques for Improved Diagnosis of Heart Disease", IJCA Vol 61, No 5, pp 1-8(2013)
20. Poat et al, "Automatic detection of heart disease using artificial immune recognition system with fuzzy resource allocation mechanism and KNN based weighting preprocessing". Expert system with applications, pp 625-631, 32(2), (2007)
21. Detrano et al, "International application of new probability algorithm for the diagnosis of CAD". The American journal of cardiology, pp 304-310, 64(5), (1989)
22. th Australian data mining conference, Austraia vol 121(2011)
23. Tu et al, "Effective diagnosis of heart disease through bagging approach" Biomedical engineering and approach (2009)
24. UCI machine learning repository," archive.ics.uci.edu/ml"