Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach

Artificial Intelligence in Medicine

Volumn 58, Issue 3, 2013, Pages 195-202

  Armañanzas, Rubén ^a   Bielza, Concha ^a   Chaudhuri, Kallol Ray ^b   Martinez Martin, Pablo ^c   Larrañaga, Pedro ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b KING S COLLEGE HOSPITAL   (United Kingdom)

^c INSTITUTO DE SALUD CARLOS III   (Spain)

Author keywords

Estimation of distribution algorithms; Feature subset selection; Parkinson's disease; Severity indexes

Indexed keywords

CLINICAL MANIFESTATION; COGNITIVE IMPAIRMENT; ESTIMATION OF DISTRIBUTION ALGORITHMS; FEATURE SUBSET SELECTION; MACHINE LEARNING APPROACHES; PARKINSON'S DISEASE; SEVERITY INDEXES; SUPERVISED CLASSIFICATION;

DISEASE CONTROL; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; LEARNING SYSTEMS; MEDICAL PROBLEMS; NEURODEGENERATIVE DISEASES;

FEATURE EXTRACTION;

AMANTADINE; ANTIPARKINSON AGENT; DOPAMINE RECEPTOR STIMULATING AGENT; LEVODOPA; RASAGILINE; SELEGILINE;

ACCURACY; ADULT; AGED; ARTICLE; AUTONOMIC DYSFUNCTION; CLASSIFIER; COGNITIVE DEFECT; DISEASE CLASSIFICATION; DISEASE DURATION; DISEASE SEVERITY; EVOLUTIONARY ALGORITHM; FAINTNESS; FEMALE; HALLUCINATION; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; MOTOR DYSFUNCTION; PARKINSON DISEASE; PREDICTOR VARIABLE; PRIORITY JOURNAL; QUESTIONNAIRE; RATING SCALE; SLEEP DISORDER; STAGING;

ESTIMATION OF DISTRIBUTION ALGORITHMS; FEATURE SUBSET SELECTION; PARKINSON'S DISEASE; SEVERITY INDEXES;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; DISEASE PROGRESSION; FEMALE; HUMANS; MALE; MIDDLE AGED; PARKINSON DISEASE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; SEVERITY OF ILLNESS INDEX; SOFTWARE DESIGN;

EID: 84880043209     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.04.002     Document Type: Article

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