New Improved Genetic Algorithm for Coronary Heart Disease Prediction
|
10.5120/ijca2016908419 |
Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani and Heena Mohd.Hafeez. Article: New Improved Genetic Algorithm for Coronary Heart Disease Prediction. International Journal of Computer Applications 136(5):34-37, February 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX
@article{key:article,
author = {Waheeda Dhokley and Tahreem Ansari and Naeema Fazlani and Heena Mohd.Hafeez},
title = {Article: New Improved Genetic Algorithm for Coronary Heart Disease Prediction},
journal = {International Journal of Computer Applications},
year = {2016},
volume = {136},
number = {5},
pages = {34-37},
month = {February},
note = {Published by Foundation of Computer Science (FCS), NY, USA}
}
Abstract
Heart disease prediction is treated as most complicated task in the field of medical sciences. Thus there arises a need to build a decision support system for detecting heart disease of a patient. Almost all system predicting heart disease use inputs from complex tests conducted in labs. In this project we are developing a system which will predict heart based on the risk factors such as tobacco, smoking, alcohol intake, age, family history, diabetes, hypertension, high cholesterol, physical inactivity, obesity. These common risk factors can be used effectively for diagnosis of heart disease[1]. System based on the such risk factors would not only help medical professionals but it would give patients a warning about the probable presence of the heart disease even before he/she visits a hospital or goes for costly medical checkups.
References
- Dawan A,Sharma M, ” Prediction of heart disease using a hybrid technique in data mining classification”, Computing for Sustainable Global Development (INDIACom),2015 2nd International Conference, - 11-13 March 2015
- Tabatabaie M,Hooman N,Arjmandi-Rafsanjani K,Isa-Tafreshi R, “Ambulatory blood pressure monitoring for children with β-thalassemia major: a preliminary report”,US National Library of Medicine National Institute of Health-2013 Jul;7
- POONAM, PAWAR, DEEPALI VORA, “A Survey On Prediction of Heart Disease for Diabetic Patients”, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 4, Issue 4, April 2015
- S. Sudha , “Disease Prediction in Data Mining Technique – A Survey”, International Journal of Computer Applications and Information Technology, ISSN: 2278-7720- 2013;2(1)17-21
- http://www.seminarstopics.com/seminar/disease-prediction-using-data-mining
- Optimize by Generation, RapidMinor Studio Core, http://docs.rapidminer.com/studio/operators/data_transformation/attribute_space_transformation/generation/optimization/optimize_by_generation_yagga.html
- Game Development, using chromosomes to go from input to output in Genetic Algorithm, http://gamedev.stackexchange.com/questions/96708/using-chromosomes-to-go-from-input-to-output-in-genetic-algorithms, Accessed on 25 January 2016
- Anand A. Chaudhari,” Fuzzy & Datamining based Disease Prediction Using K-NN Algorithm”, International Journal of Innovations in Engineering and Technology (IJIET)
- T. Santhanam and E. P. Ephzibah” Heart Disease Prediction Using Hybrid Genetic Fuzzy Model”, Indian Journal of Science and Technology, Vol 8(9), 797–803, May 2015
- Kristian Guillaumier,” Generic Chromosome Representation and Evaluation for Genetic Algorithms”
- Sikha Dixit, Appu Kuttan. K.K,” ARTIFICIAL NEURAL NETWORK BASED DATA MINING APPROACH FOR HUMAN HEART DISEASE PREDICTION”, International Journal of Computer Engineering and Technology (IJCET), Volume 5, Issue 6, June (2014)
- Ibrahim Umar Said, Jamila M. Muhammad, Manoj kumar Gupta,” Intelligent Heart Disease Prediction System by Applying Apriori Algorithm”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5,Issue 9,September 2014
Keywords
Genetic Algorithm, Coronary Heart Disease, Prediction