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

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

Both rough set theory (RST) and fuzzy rough set theory (FRST) are related to intelligent granular computing (GrC) primarily with the help of static granules. Our granules are sets of attributes measured from Parkinson’s disease (PD) patient in a certain moment of his/her disease. Our complex granule...

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Bibliographic Details
Main Authors: Andrzej W. Przybyszewski, Albert Śledzianowski
Format: Article
Language:English
Published: Taylor & Francis Group 2020-10-01
Series:Journal of Information and Telecommunication
Subjects:
granular computing
similarity
aggregation
disease progression
disease model
Online Access:http://dx.doi.org/10.1080/24751839.2020.1749410

Internet

http://dx.doi.org/10.1080/24751839.2020.1749410

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