Machine learning Ensemble for the Parkinson’s disease using protein sequences-Reference-Cited by-同舟云学术

Machine learning Ensemble for the Parkinson’s disease using protein sequences

Published:2022-04-12 Issue:22 Volume:81 Page:32215-32242
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Arora Priya,Mishra Ashutosh,Malhi Avleen^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12960-7.pdf

Reference67 articles.

1. Abu-Nimeh S, Nappa D, Wang X, Nair S (2007) A comparison of machine learning techniques for phishing detection. Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit: 60–69. https://doi.org/10.1145/1299015.1299021

2. Ala U, Piro RM, Grassi E, Damasco C, Silengo L, Oti M, Provero P, Di Cunto F (2008) Prediction of human disease genes by human-mouse conserved coexpression analysis. PLoS Comput Biol 4(3):e1000043

3. Avci D, Dogantekin A (2016) An expert diagnosis system for Parkinson disease based on genetic algorithm-wavelet kernel-extreme learning machine. Parkinson’s Dis 4:1–9

4. Babu GS, Suresh S (2013) Parkinson’s disease prediction using gene expression–a projection based learning meta-cognitive neural classifier approach. Expert Syst Appl 40:1519–1529

5. Balaji VR, Suganthi ST, Rajadevi R, Kumar VK, Balaji BS, Pandiyan S (2020) Skin disease detection and segmentation using dynamic graph cut algorithm and classification through naive Bayes classifier. Measurement 163:107922

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