Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy.

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2018 Sep 12 Others R Karthikeyan, P Alli - Journal of medical systems, 2018 - Springer 42

Full Author : ['Karthikeyan, R', 'Alli, P']
Journal Title : Journal of medical systems
Chapter : Section1
Journal Year : 2018
Cited by : 33.0

Diabetic Retinopathy (DR) has been a leading cause of blindness in case of human beings falling between the ages of 20 and 74 years. This will have a major influence on both the patient and the society as it can normally influence the humans in their gain..... Read More

Keywords : ["support vector machine base", "hybrid glowworm swarm optimization", "parameter optimization", "feature selection", "diabetic retinopathy", "classification"]
PubMed Link : https://link.springer.com/article/10.1007/s10916-018-1055-x
Google Scholar Link : https://scholar.google.com/scholar?cites=10239214427370419976&as_sdt=5,31&sciodt=0,31&hl=en&num=20

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Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy.