Advanced Optimization tool for the Heart Patient
Jossy P. George1, Tessy Tom2, Suhas M. Gaikwad3
1Dr. Jossy P. George *, Director and Dean, Computer Science and Human Resources, Ahmedabad, India.
2Dr. Tessy Tom, Assistant professor and Head, Department of Commerce and Management, Christ (Deemed to be University), Bengaluru, India.
3Suhas M. Gaikwad, Researcher at Christ Deemed to be University, Lavasa, Pune, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 2416-2421 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7185118419/2019©BEIESP | DOI: 10.35940/ijrte.D7185.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Coronary Angiography bypass sugary is meant for removing blockage in the coronary arteries of heart. Removing blockage from the heart with Coronary Angiography leads to the regulation of the blood flow rate at normal pressure. However, after a few years of the Coronary Angiography bypass sugary nearly fifty percent of people will develop again a blockage in the coronary arteries. Although, the Medical Science and Technology advanced so much there is a lack of an Optimization tool that handles complications of the Coronary Angiography bypass sugary. A new Optimization tool using Genetic Algorithm with the Coronary Angiography bypass sugary GA-CABAG, and Cohort Intelligence, Coronary Angiography bypass surgery CI –CABAG is introduced to help to resolve the above-mentioned problem.
Keywords: Optimization, Heart Patient, Genetic Algorithm, Cohort Intelligence, GA-CABAG, CI-CABAG, Image Processing.
Scope of the Article: On-Line And Streaming Algorithms.