Parkinson’s disease development prediction by c-granule computing compared to different AI methods-Reference-Cited by-同舟云学术

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Parkinson’s disease development prediction by c-granule computing compared to different AI methods

Published:2020-04-22 Issue:4 Volume:4 Page:425-439
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Przybyszewski Andrzej W.¹²^ORCID,Śledzianowski Albert¹

Affiliation:

1. Polish-Japanese Academy of Information Technology, Warszawa, Poland

2. Department of Neurology, UMass Medical School, Worcester, USA

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2020.1749410

Reference14 articles.

1. ROUGH FUZZY SETS AND FUZZY ROUGH SETS*

2. The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory

3. Parkinson’s Disease Development Prediction by C-Granule Computing

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1. Advancements on IoT and AI applied to Pneumology;Microprocessors and Microsystems;2024-07

2. Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases;Sensors;2024-02-29

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