ARCHIVES

1. Soni J, Ansari U, Sharma D &Soni S (2011). Predictive data mining for medical diagnosis: an overview of heart disease prediction.
International Journal of Computer Applications, 17(8), 43-8
2. Dangare C S &Apte S S (2012). Improved study of heart disease prediction system using data mining classification techniques.
International Journal of Computer Applications, 47(10), 44-8.
3. Ordonez C (2006). Association rule discovery with the train and test approach for heart disease prediction. IEEE Transactions on
Information Technology in Biomedicine, 10(2), 334-43.
4. Shinde R, Arjun S, Patil P & Waghmare J (2015). An intelligent heart disease prediction system using k-means clustering and Naïve
Bayes algorithm. International Journal of Computer Science and Information Technologies, 6(1), 637-9.
5. Bashir S, Qamar U &Javed M Y (2014, November). An ensemble-based decision support framework for intelligent heart disease
diagnosis. In International Conference on Information Society (i-Society 2014) (pp. 259-64). IEEE.
6. Jee S H, Jang Y, Oh D J, Oh B H, Lee S H, Park S W & Yun Y D (2014). A coronary heart disease prediction model: the Korean Heart
Study. BMJ open, 4(5), e005025.
7. Ganna A, Magnusson P K, Pedersen N L, de Faire U, Reilly M, Ärnlöv J &Ingelsson E (2013). Multilocus genetic risk scores for
coronary heart disease prediction. Arteriosclerosis, thrombosis, and vascular biology, 33(9), 2267-72.
8. Jabbar M A, Deekshatulu B L & Chandra P (2013, March). Heart disease prediction using lazy associative classification. In 2013
International Mutli-Conference on Automation, Computing,Communication, Control and Compressed Sensing (iMac4s) (pp. 40- 6).
IEEE.
9. DangareChaitrali S and Sulabha S Apte. "Improved study of heart disease prediction system using data mining classification
techniques." International Journal of Computer Applications 47.10 (2012): 44-8.
10. Soni Jyoti. "Predictive data mining for medical diagnosis: An overview of heart disease prediction." International Journal of Computer
Applications 17.8 (2011): 43-8.
11. Chen A H, Huang S Y, Hong P S, Cheng C H & Lin E J (2011, September).HDPS: Heart disease prediction system. In 2011 Computing
in Cardiology (pp557-60). IEEE.
12. Parthiban, Latha and R Subramanian. "Intelligent heart disease prediction system using CANFIS and genetic algorithm." International
Journal of Biological, Biomedical and Medical Sciences 3.3 (2008).
13. Wolgast G, Ehrenborg C, Israelsson A, Helander J, Johansson E &Manefjord H(2016). Wireless body area network for heart attack
detection [Education Corner]. IEEE antennas and propagation magazine, 58(5), 84-92.
14. Patel S & Chauhan Y (2014). Heart attack detection and medical attention using motion sensing device -kinect. International Journal of
Scientific and Research Publications, 4(1), 1-4.
15. Zhang Y, Fogoros R, Thompson J, Kenknight B H, Pederson M J, Patangay A & Mazar S T(2011). U.S. Patent No. 8,014,863.
Washington, DC: U.S. Patent and Trademark Office.
16. Raihan M, Mondal S, More A, Sagor M O F, Sikder G, Majumder M A & Ghosh K (2016,December). Smartphone based ischemic heart
disease (heart attack) risk prediction using clinical data and data mining approaches, a prototype design. In 2016 19th International
Conference on Computer and Information Technology (ICCIT) (pp. 299-303). IEEE.
17. Buechler K F & McPherson P H (1999). U.S. Patent No. 5,947,124. Washington, DC:U.S. Patent and Trademark Office.
18. Takci H (2018). Improvement of heart attack prediction by the feature selection methods. Turkish Journal of Electrical Engineering &
Computer Sciences,26(1), 1-10.
19. Worthen W J, Evans S M, Winter S C & Balding D (2002). U.S. Patent No. 6,432,124. Washington, DC: U.S. Patent and Trademark
Office.
20. Acharya U R, Fujita H, Oh S L, Hagiwara Y, Tan J H & Adam M (2017). Application of deep convolutional neural network for
automated detection of myocardial infarction using ECG signals. Information Sciences, 415, 190-8.
21. Brown N, Young T, Gray D, Skene A M & Hampton J R (1997). Inpatient deaths from acute myocardial infarction, 1982-92: analysis of
data in the Nottingham heart attack register. BMJ, 315(7101), 159-64.
22. Piller L B, Davis B R, Cutler J A, Cushman W C, Wright J T, Williamson J D & Haywood L J (2002). Validation of heart failure events
in the Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) participants assigned to doxazosin and
chlorthalidone. Current controlled trials in cardiovascular medicine, 3(1), 10.
23. Folsom A R, Prineas R J, Kaye S A & Soler J T (1989). Body fat distribution and self-reported prevalence of hypertension, heart attack,
and other heart disease in older women. International journal of epidemiology, 18(2), 361-7.
24. Kiyasu J Y (1982). U.S. Patent No. 4,338,396. Washington, DC: U.S. Patent and Trademark Office.