Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease

Computers in Biology and Medicine

Volumn 42, Issue 2, 2012, Pages 195-204

  Exarchos, Themis P ^a   Tzallas, Alexandros T ^a   Baga, Dina ^a   Chaloglou, Dimitra ^b   Fotiadis, Dimitrios I ^a   Tsouli, Sofia ^c   Diakou, Maria ^c   Konitsiotis, Spyros ^c  

^a UNIVERSITY OF IOANNINA   (Greece)

^b ANCO SA   (Greece)

^c UNIVERSITY OF IOANNINA   (Greece)

Author keywords

Association rules; Parkinson's disease; Partial decision trees; Symptom prediction

Indexed keywords

DATA MINERS; PARKINSON'S DISEASE; RULE MINING ALGORITHMS; TREATMENT PLANS; USER FRIENDLY INTERFACE;

ASSOCIATION RULES; DATA MINING; DECISION TREES; DIAGNOSIS; DISEASE CONTROL; FORECASTING; FORESTRY; MINERS; NEURODEGENERATIVE DISEASES;

PATIENT TREATMENT;

ALGORITHM; ARTICLE; COMPUTER INTERFACE; DATA ANALYSIS; DECISION TREE; EVALUATION; EXAMINATION; HUMAN; MEDICAL RECORD; PARKINSON DISEASE; PREDICTION; PRESCRIPTION; PRIORITY JOURNAL; SYMPTOM;

ALGORITHMS; DATA MINING; DATABASES, FACTUAL; DECISION MAKING, COMPUTER-ASSISTED; DECISION TREES; HUMANS; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; PARKINSON DISEASE; SENSITIVITY AND SPECIFICITY; TELEMEDICINE; TELEMETRY;

DATA PROCESSING; DIAGNOSIS; DISEASES; FORECASTS; FORESTRY;

EID: 84855957415     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.11.008     Document Type: Article

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