Early diagnosis of Parkinson's disease via machine learning on speech data

2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Volumn , Issue , 2012, Pages

  Hazan, Hananel ^a   Hilu, Dan ^a   Manevitz, Larry ^a,b   Ramig, Lorraine O ^c   Sapir, Shimon ^a  

^a UNIVERSITY OF HAIFA   (Israel)

^b ROTMAN RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Classification; Early Diagnosis; Machine Learning; Parkinson Disease; Pattern Matching; Speech Data; SVM

Indexed keywords

DATA SETS; EARLY DIAGNOSIS; FEATURE SETS; HEALTHY CONTROLS; PARKINSON DISEASE; PARKINSON'S DISEASE; PHYSICAL SYMPTOMS; SPEECH DATA; SVM; TRAINING AND TESTING; TRAINING PHASE;

CLASSIFICATION (OF INFORMATION); NEURODEGENERATIVE DISEASES; PATTERN MATCHING;

LEARNING SYSTEMS;

EID: 84871983030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EEEI.2012.6377065     Document Type: Conference Paper

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