Review on Clinical Decision Support System for Heart Diseases

Kulkarni Rashmi Ravindranath; Kulkarni Radhika Ravindranath

doi:https://doi.org/10.14445/22315381/IJETT-V53P203

Research Article | Open Access | Download PDF

Volume 53 | Number 1 | Year 2017 | Article Id. IJETT-V53P203 | DOI : https://doi.org/10.14445/22315381/IJETT-V53P203

Review on Clinical Decision Support System for Heart Diseases

Kulkarni Rashmi Ravindranath, Kulkarni Radhika Ravindranath

Citation :

Kulkarni Rashmi Ravindranath, Kulkarni Radhika Ravindranath, "Review on Clinical Decision Support System for Heart Diseases," International Journal of Engineering Trends and Technology (IJETT), vol. 53, no. 1, pp. 10-12, 2017. Crossref, https://doi.org/10.14445/22315381/IJETT-V53P203

Abstract

Clinical Decision Support System (CDSS) is a tool which helps doctors to make better and uniform decisions. There are many existing systems present which are used for diagnosing the diseases. For different systems algorithmic aspect changes as per requirement. For every approach there pros and cons. Selecting the positive aspect and overcoming the problems is the main motive. There i s large amount of heart related data present , which i s in unst ructured format . Hence by analyz ing the data and format t ing i t into st ructured manner helps for making the deci sion. For diagnos ing the disease there are many ways in which hear t related di seases can be diagnosed and treatment can be provided.

Keywords

CDSS, Patient health Information, Electronic Medical Record, Healthcare, Data mining.

References

[1] Dipak V. Patil , R. S. Bichkar “ Issues in Optimization of Decision Tree Learning: A Survey “, International Journal of Applied Information Systems (IJAIS) , New York, USA Volume 3 No.5, July 2012.
[2] Peter Kokol, Sandi Pohorec, Gregor tiglic, Vili Podgorelec,” Evolutionary design of decision trees for medical application “, Wiley Periodicals, April 2012.
[3] Punam Suresh Pawar, D. R. Patil, “Survey on clinical decision support system “, April 2012.
[4] Rodrigo C. Barros, Marcio P. Basgalupp, Andre C. P. L. F. de Carvalho and Alex A. Freitas, “ A Survey of Evolutionary Algorithms for Decision Tree Induction “, IEEE Transactions on systems, Man And Cybernetics, January 2012.
[5] Gwenole Quellec, Mathieu Lamard, Lynda Bekri, Guy Cazuguel , “ Medical Case Retrieval From a Committee of Decision Trees”, IEEE Transactions On Information Technology in Biomedicine , Vol. 14, No. 5, September 2011.
[6] M.M.Abbasi, S. Kashiyarndi, “Clinical Decision Support Systems: A discussion on di_erent methodologies used in Health Care “.
[7] Adam Wright, Shobha Phanslkar, Meryl Bloomrosen, Robert A. Jenders, Anne M. Bobb, John D. Halamka, Gilad Kuperman, Thomas H.Payne, Sheila Teasdale, Allen J. Vaida, David W. Bates, “Best Practices in Clinical Decision Support: the Case of Preventive Care Reminders “,2011.
[8] Rasoul Safavian and David Landgrebe, ”A survey of decision tree classifier methodology”, IEEE transaction on systems, Man & Cybernetics, May.
[9] Punam Bajaj , Preeti Gupta, “Review on heart diagnosis based on data mining techniques”, International Journal of Science and Research(IJSR), 2012.
[10] Syed Umar Amin, Kavita Agarwal, Dr. Rizwan Beg ” Data mining in Clinical Decision Support Systems for Diagnosis, Prediction and Treatment of Heart Disease ”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), January 2013.
[11] Mrs.G.Subbalakshmi, Mr. K. Ramesh, Mr. M. Chinna Rao ”Decision Support in Heart Disease Prediction System using Naive Bayes “, Indian Journal of Computer Science and Engineering (IJCSE), Apr-May 2011.
[12] Chaitrali S. Dangare Sulabha S. Apte, “ Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques “,International Journal of Computer Applications, June 2012.
[13] Miss. Chaitrali S. Dangare1, Dr. Mrs. Sulabha S. Apte, “ A Data Mining Approach For Prediction of Heart Disease Using Neural Networks“,International Journal of Computer Engineering & Technology (IJCET), October - December 2012.
[14] Sunita Pachekhiya, A.K. Wadhwani, “Disease Diagnosis of Heart Muscles Using error back propagation neural network”, International Journal of Engineering Science and Technology (IJEST) , July 2011.
[15] Dhanashree S. Medhekar ,Mayur P. Bote, Shruti D. Deshmukh, “ Heart Disease Prediction System using Naive Bayes”, International Journal of Enhanced Research in science technology & engineering, Vol 2 issue 3, March 2013.