title: A survey of nature-inspired algorithms for feature selection to identify Parkinson's disease.
abstract: OBJECTIVE
  Parkinson's disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and tremors. Analyzing human gait serves to be useful in studies aiming at early recognition of the disease. In this paper we perform a comparative analysis of various nature inspired algorithms to select optimal features/variables required for aiding in the classification of affected patients from the rest.
  
  
  METHODS
  For the experiments, we use a real life dataset of 166 people containing both healthy controls and affected people. Following the optimal feature selection process, the dataset is then classified using a neural network.
  
  
  CONCLUSIONS
  The experimental results show Binary Bat Algorithm outperformed traditional techniques like Particle Swarm Optimization (PSO), Genetic Algorithm and Modified Cuckoo Search Algorithm with a competitive recognition rate on the dataset of selected features. We compare this through different criteria like cross-validated accuracies, true positive rates, false positive rates, positive predicted values and negative predicted values.
authors.affiliation: Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh 474010, India. Electronic address: prashantshri007@gmail.com.
authors.forename: Prashant
authors.initials: P
authors.lastname: Shrivastava
authors.affiliation: Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh 474010, India. Electronic address: anupamshukla@iiitm.ac.in.
authors.forename: Anupam
authors.initials: A
authors.lastname: Shukla
authors.affiliation: Department of Electrical & Computer Engineering, Florida International University, USA; Motorola Solutions, USA. Electronic address: praneeth.vepakomma@fiu.edu.
authors.forename: Praneeth
authors.initials: P
authors.lastname: Vepakomma
authors.affiliation: Integrated Biostatistics and Data Management Center, Florida International University, USA. Electronic address: nbhansal@fiu.edu.
authors.forename: Neera
authors.initials: N
authors.lastname: Bhansali
authors.affiliation: Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh 474010, India. Electronic address: vermaksh@gmail.com.
authors.forename: Kshitij
authors.initials: K
authors.lastname: Verma
mesh_terms: D000465:Algorithms; D000818:Animals; D002685:Chiroptera; D006801:Humans; D010300:Parkinson Disease / Q000145:classification / Q000175:diagnosis*
keywords: Bat algorithm; Feature selection; Gait; Parkinson's