Author : Bhavini Bhatia 1
Date of Publication :9th August 2017
Abstract: There are huge amount of data in the medical industry which requires prediction and analysis so that right decisions can be made and help in proper analysis. As the data is large and the decision made by the doctor may not be accurate which may result in failure in some cases and can sometimes put someone's life at stake. Data mining in healthcare is an intelligent diagnostic tool. Heart disease is the leading cause of death in the world over the past 10 years.29.2% of deaths are due to Cardiovascular Diseases(CVD). Researchers have been using several data mining techniques to help healthcare professionals in the diagnosis of heart disease. Decision Tree is one of the successful data mining techniques used. However, most researchers have applied KNN . Number of experiments has been conducted to compare the performance of predictive data mining technique on the same dataset and the outcome reveals that Decision Tree outperforms other predictive methods like KNN, Neural Networks.This research paper intends to provide the knowledge that which data mining technique gives better accuracy and should be used in Heart Disease analysis.
Reference :
-
- MikaKivimaki and Ichiro Kawachi,Work Stress as a Risk Factor for Cardiovascular Disease.
- Heart Disease Analysis System Using Data Mining Techniques by G.Karthiga1, C.Preethi1 and R.DelshiHowsalya Devi.
- JagdeepSingh,AmitKamra,HarbhagSingh“Prediction of heart diseases using associative classification”.Published in 2016 5th International Conference on Wireless Networks and Embedded Systems.
- Pignone M, Phillips C, Mulrow C,Use of lipid lowering drugs for primary prevention of coronary heart disease: meta-analysis of randomised trials. BMJ 2000; 321: 1–5.
- SudlowCL,Warlow CP. Comparable studies of the incidence of stroke and its pathological types: results from an international collaboration. International Stroke Incidence Collaboration. Stroke 1997; 28: 491–9.
- Brotman DJ, Golden SH, Wittstein IS. The cardiovascular toll of stress. Lancet. 2007;370:1089–100. doi: 10.1016/S0140-6736(07)61305-1.
- Steptoe A, Kivimäki M. Stress and cardiovascular disease. Nat Rev Cardiol. 2012;9:360–70. doi: 10.1038/nrcardio.2012.45.
- Landsbergis PA, Dobson M, Koutsouras G, Schnall P. Job strain and ambulatory blood pressure: a meta-analysis and systematic review. Am J Public Health. 2013;103:e61–71. doi: 10.2105/AJPH.2012.301153.
- Kivimäki M, IPD-Work. Long working hours and risk of coronary heart disease and stroke: a meta-analysis of 603,838 men and women. Lancet. 2015 [in press].
- Hemingway H, Marmot M. Evidence based cardiology: psychosocial factors in the aetiology and prognosis of coronary heart disease. Systematic review of prospective cohort studies. BMJ. 1999;318:1460–7. doi: 10.1136/bmj.318.7196.1460.
- Ferrie JE. Is job insecurity harmful to health? J R Soc Med. 2001;94:71–6
- Law MR, Wald NH, Wu T, HackshawA,BaileyA.Systematic underestimation of association between serum cholesterol concentration and ischaemic heart disease in observational studies: data from the BUPA study. BMJ 1994; 308: 363–6.