A Survey for identifying Parkinson’s disease by Binary Bat Algorithm
Keywords:
Parkinson’s Disease(PD), Echolocation, Support Vector Machine (SVM), Naïve Bayesian (NB), k-Nearest Neighbor(kNN)Abstract
Parkinson’s disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity tremors. Analyzing human gait serves to be useful in studies aiming at early recognition of the disease. In the present work, 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. Binary Bat Algorithm (BBA) has searched the feature space for optimal feature combinations with good accuracy. Bats use echolocation to detect prey and avoid obstacles in the dark by emitting ultrasound waves and listening to the echo produced through the waves reflecting from the surrounding objects. The accuracy can be made possible through various classification techniques such as SVM, NB, kNN.
References
Francisco Cardoso “Botulinum toxin in parkinsonism: The when, how, and which for botulinum toxin injections,” IEEE Transactions on Neurology Service,2017.
Roland Dominic G. Jamoraa, Leah L. ShiongShua, Alvin Rae F. Ceninaa,Carissa Paz C. Dioquinoa, Patricia Ann D. Cantoa“Parkinsonism among retired Filipino boxers,”IEEE Transactions on Neuroscience,2017.
Srishti Grover, SaloniBhartia, Akshama, Abhilasha Yadav, Seeja K. R. “Predicting Severity of Parkinson`s disease Using Deep Learning,” IEEE Transactions on Learning paradigms,2018.
Haiping Ma, Shigen Shen , Mei Yu , Zhile Yang , MinruiFei , Huiyu Zhou “Multi-population techniques in nature inspired optimization algorithms,”Science direct,2018.
Alberto Barontinia*, Maria-Giovanna Masciottaa, Luís F. Ramosa, Paulo Amado- Mendesb, Paulo B. Lourençoa “An overview on nature-inspired optimization algorithms for Structural Health Monitoring of historical buildings,”IEEE Transactions on Health Monitoring,2018.
Prashant Shrivastava , Anupam Shukla , PraneethVepakomma ,NeeraBhansali , KshitijVerma“A survey of nature-inspired algorithms for feature selection to identify Parkinson’s disease,” 2016.
. DamianJaniga, Robert Czarnota, Jerzy Stopa, PawełWojnarowski, Piotr Kosowski“Performance of nature inspired optimization algorithms for polymerEnhanced Oil Recovery process,”2017.
]. GebrailBekdaşa, Sinan MelihNigdelia,, Xin-She Yang“ A novel bat algorithm based optimum tuning of mass dampers for improving the seismic safety of structures,”pp 89-98,2018.
Yasmine Aboubi, Habiba Drias, Nadjet Kamel ”BAT-CLARA: BAT- inspired algorithm for Clustering Large Applications,” pp243–248,2016.
MessaoudiImane. _ KamelNadjet.”Hybrid Bat algorithm for overlapping community detection,” pp 1454–1459,2016.
Mohamed A. Tawhid , Kevin B. Dsouza “Hybrid Binary Bat Enhanced Particle Swarm Optimization Algorithm for solving feature selection problems,”2018.
Yongbo Chen, ZhenyueJia, Xiaolin Ai, Di Yang, Jianqiao Yu“ A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem,”Applied Soft Computing pp 714–725,2017.
E.EmaryHossamM.Zawbaa, AboulEllaHassanien,“ Binary grey wolf optimization approaches for feature selection,”pp 371-381,2016
Wenhua Han , Xiaohui Shen , Edwin Hou , Jun Xu “Precision time synchronization control method for smart grid based on wolf colony algorithm,”IEEE Transactions on Electrical Power and Energy Systems,pp 816–822,2016.
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