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New Improved Genetic Algorithm for Coronary Heart Disease Prediction

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Waheeda Dhokley, Tahreem Ansari, Naeema Fazlani, Heena Mohd.Hafeez
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

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Keywords

Genetic Algorithm, Coronary Heart Disease, Prediction