A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques

Biocybernetics and Biomedical Engineering

Volumn 38, Issue 1, 2018, Pages 1-15

  Nilashi, Mehrbakhsh ^a,b   Ibrahim, Othman ^a   Ahmadi, Hossein ^c,d   Shahmoradi, Leila ^e   Farahmand, Mohammadreza ^f  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c BAQIYATALLAH UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d IRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^e TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^f ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Clustering; Dimensionality reduction; Healthcare; ISVR; Parkinson Disease diagnosis; UPDRS

Indexed keywords

ACCURACY; ARTICLE; DISEASE COURSE; HUMAN; MACHINE LEARNING; PARKINSON DISEASE; PREDICTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; UNIFIED PARKINSON DISEASE RATING SCALE;

EID: 85032794576     PISSN: 02085216     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bbe.2017.09.002     Document Type: Article

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