Diagnosing Parkinson's diseases using fuzzy neural system

DOI10.1155/2016/1267919zbMath1423.92069OpenAlexW2230244852WikidataQ30391002 ScholiaQ30391002MaRDI QIDQ305990

Sanan Abizade, Rahib Hidayat Abiyev

Publication date: 31 August 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/1267919

zbMATH Keywords

fuzzy neural systemParkinson's disease diagnosis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural networks for/in biological studies, artificial life and related topics (92B20) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Medical applications (general) (92C50) Multivariate analysis and fuzziness (62H86)

Uses Software

• UCI-ml
• ElemStatLearn
• DENFIS

Cites Work

• Unnamed Item
• The concept of a linguistic variable and its application to approximate reasoning. I
• Credit rating using type-2 fuzzy neural networks
• Multiple adaptive neuro-fuzzy inference system with automatic features extraction algorithm for cervical cancer recognition
• Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering
• The elements of statistical learning. Data mining, inference, and prediction