Web-based decision support in selecting patients with Parkinson's disease for deep brain stimulation

被引:0
|
作者
Vitek, Marcus [1 ,2 ]
Pinter, Michaela [2 ]
Rappelsberger, Andrea [1 ]
Hayashi, Yoichi [3 ]
Adlassrug, Klaus-Peter [1 ,4 ]
机构
[1] Med Univ Vienna, Core Unit Med Stat & Informat, Sect Med Expert & Knowledge Based Syst, Spitalgasse 23, A-1090 Vienna, Austria
[2] Neurol Rehabil Ctr Rosenhugel, A-1130 Vienna, Austria
[3] Meiji Univ, Dept Comp Sci, Kawasaki, Kanagawa 2148571, Japan
[4] Med Healthcare GmbH, A-1090 Vienna, Austria
关键词
D O I
10.1109/CBMS.2007.124
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Parkinson's disease is a progressive neurological disorder. Treatment of this disease is limited to dopamine replacement therapy, which successfully alleviates major signs of the disease. However, the treatment is associated with long-term] side effects. Only a neurosurgical intervention is able to curtail the otherwise intolerable symptoms. One of the interventions is deep brain stimulation (DBS). Indications or contraindications for DBS surgery depend on (a) the course of previous treatment, (b) the patient's current symptoms and signs, (c) the patient's subjective quality of life, and (d) the anticipated prognosis of the disease. A web-based system, named FuzzyDBSexpert, was established to support the decision concerning the suitability of DBS surgery), in a particular case, It consists of five main components: (I) the database that contains the patient's medical data, (2) a user interface that implements the Unified Parkinson's Disease Rating Scale and some further forms, (3) a knowledge base that contains fuzzy IF-THEN rules, (4) a medical specialist user interface, and (5) a fuzzy inference engine. The development of the system has been completed Initial tests have shown that it is helpful for physicians treating patients
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页码:79 / +
页数:2
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