A survey of nature-inspired algorithms for feature selection to identify parkinson's disease

• We perform a comparative analysis of nature inspired-algorithms for feature selection to aid the classification of affected Parkinson's patients from the rest.• Feature selection was applied to datasets of Gait& Speech of Parkinson's Patients. • Binary Bat Algorithm outperformed traditional techniques like Particle Swarm Optimization (PSO), Genetic Algorithm and Modified Cuckoo Search Algorithm.

Source: Computer Methods and Programs in Biomedicine - September 11, 2016 Category: Bioinformatics Authors: Prashant Shrivastava, Anupam Shukla, Praneeth Vepakomma, Neera Bhansali, Kshitij Verma Source Type: research