Predication of Parkinson's disease using data mining methods: A comparative analysis of tree, statistical, and support vector machine classifiers

Indian Journal of Medical Sciences

Volumn 65, Issue 6, 2011, Pages 231-242

  Yadav, Geeta ^a   Kumar, Yugal ^b   Sahoo, Gadadhar ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY   (India)

^b Hindu College   (India)

Author keywords

Classifiers; decision stump; logistic regression; machine learning; Parkinson's and sequential minimization optimization

Indexed keywords

ARTICLE; CLASSIFIER; DATA MINING; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; PARKINSON DISEASE; PREDICTION; SENSITIVITY AND SPECIFICITY; SPEECH ARTICULATION; SPEECH DISORDER; STATISTICAL CLASSIFIER; SUPPORT VECTOR MACHINE; TREE CLASSIFIER;

ARTIFICIAL INTELLIGENCE; DATA MINING; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; PARKINSON DISEASE; SUPPORT VECTOR MACHINES;

EID: 84875419406     PISSN: 00195359     EISSN: 19983654     Source Type: Journal    
DOI: 10.4103/0019-5359.107023     Document Type: Article

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