Cuckoo search based deterministic scale (CSDS) for computer aided heart disease detection

Author(s):  
Jayavani Vankara ◽  
G. Lavanya Devi
2017 ◽  
Vol 141 ◽  
pp. 19-26 ◽  
Author(s):  
Zeinab Arabasadi ◽  
Roohallah Alizadehsani ◽  
Mohamad Roshanzamir ◽  
Hossein Moosaei ◽  
Ali Asghar Yarifard

Author(s):  
. Anika ◽  
Navpreet Kaur

The paper exhibits a formal audit on early detection of heart disease which are the major cause of death. Computational science has potential to detect disease in prior stages automatically. With this review paper we describe machine learning for disease detection. Machine learning is a method of data analysis that automates analytical model building.Various techniques develop to predict cardiac disease based on cases through MRI was developed. Automated classification using machine learning. Feature extraction method using Cell Profiler and GLCM. Cell Profiler a public domain software, freely available is flourished by the Broad Institute's Imaging Platform and Glcm is a statistical method of examining texture .Various techniques to detect cardio vascular diseases.


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