A modified kNN algorithm to detect Parkinson’s disease-Reference-Cited by-同舟云学术

A modified kNN algorithm to detect Parkinson’s disease

Published:2023-05-26 Issue:1 Volume:12 Page:
ISSN:2192-6670
Container-title:Network Modeling Analysis in Health Informatics and Bioinformatics
language:en
Short-container-title:Netw Model Anal Health Inform Bioinforma

Author:

Indu Richa^ORCID,Dimri Sushil Chandra,Malik Preeti

Publisher

Springer Science and Business Media LLC

Subject

Urology,Computer Science (miscellaneous),Computer Networks and Communications,Computer Science Applications,Computational Mathematics,Biochemistry, Genetics and Molecular Biology (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s13721-023-00420-7.pdf

Reference62 articles.

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2. Aljalal M, Aldosari SA, Molinas M, AlSharabi K, Alturki FA (2022) Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques. Sci Rep. https://doi.org/10.1038/s41598-022-26644-7

3. Angeles P, Tai Y, Pavese N, Wilson S, Vaidyanathan R (2017) Automated assessment of symptom severity changes during deep brain stimulation (DBS) therapy for Parkinson’s disease. Internat Confer Rehabilitation Robotics (ICORR). https://doi.org/10.1109/ICORR.2017.8009462

4. Asgari M, Shafran I (2010) Extracting cues from speech for predicting severity of Parkinson’s disease. IEEE Inter Workshop Machine Learning Signal Process. https://doi.org/10.1109/MLSP.2010.5589118

5. Åström F, Koker R (2011) A parallel neural network approach to prediction of Parkinson’s disease. Expert Syst Appl 38:12470–12474. https://doi.org/10.1016/j.eswa.2011.04.028

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