2017
DOI: 10.1016/j.cmpb.2016.07.029
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A survey of nature-inspired algorithms for feature selection to identify Parkinson's disease

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Cited by 78 publications
(34 citation statements)
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“…al. 2017 [36]. The present accuracy of 90.32% from one parameter and 100% from all the left leg gait parameters taken together has been at par to, even…”
Section: Accepted Manuscriptmentioning
confidence: 40%
“…al. 2017 [36]. The present accuracy of 90.32% from one parameter and 100% from all the left leg gait parameters taken together has been at par to, even…”
Section: Accepted Manuscriptmentioning
confidence: 40%
“…To overcome sub-optimal convergence, the concept of meta-heuristics search algorithms are applied to search for optimal features (genes) that can best represent the entire original features from microarray datasets (Shrivastava et al 2017). Most of these search systems are nature inspired such as genetic algorithms, genetic programming, simulated annealing, and particle swarm optimisation are exploited which presents different level of fitness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…After the process, selected features might be possibility half of the size of the original feature dataset. Bat Algorithm (BA) is used to find the optimal features in [14,15]. Since, BA is a powerful technique to optimize the number of features, this algorithm is combined with another technique such as rough set [16,17].…”
Section: Introductionmentioning
confidence: 99%