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

Abstract In this work we present a method based on partial decision trees and association rules for the prediction of Parkinson's disease (PD) symptoms. The proposed method is part of the PERFORM system. PERFORM is used for the treatment of PD patients and even advocate specific combinations of...

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Veröffentlicht in:	Computers in biology and medicine 2012-02, Vol.42 (2), p.195-204
Hauptverfasser:	Exarchos, Themis P, Tzallas, Alexandros T, Baga, Dina, Chaloglou, Dimitra, Fotiadis, Dimitrios I, Tsouli, Sofia, Diakou, Maria, Konitsiotis, Spyros
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Association rules Data Mining Databases, Factual Decision Making, Computer-Assisted Decision Trees Humans Internal Medicine Models, Biological Monitoring, Physiologic - methods Other Parkinson Disease - diagnosis Parkinson's disease Partial decision trees Sensitivity and Specificity Symptom prediction Telemedicine - methods Telemetry
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