帕金森诊断系统专家采用了登斯特-沙夫方法

Agus Iskandar
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引用次数: 0

摘要

继阿尔茨海默病之后,帕金森病是影响人类最常见的神经退行性疾病。数百万人(约占世界人口的1%)受到帕金森病的影响。帕金森氏症是一种中枢神经系统的神经退行性疾病,会影响运动系统,并随着时间的推移而发展。尽管帕金森氏症是一种罕见的疾病,但利用专家系统创建了一种工具,可以从患者经历的症状中识别这种疾病。基于用户感知到的信任价值,专家系统产生疾病机会。采用Dempster-Shafer方法计算信任值。Dempster-Shafer方法减少了不确定性,并导致正确的诊断。包含或删除新数据的结果,例如关于症状和疾病的详细信息。在这种方法下,专家因其拥有的知识而受到重视。这种方法奖励专业人员所拥有的知识。这项研究将采用一种诊断帕金森氏症的方法。根据应用Dempster-Shafer方法的程序结果,确定患者表现出帕金森病的某些症状,确定患者为2期帕金森病,准确率值为0.944,百分比为94%。采用Dempster-Shafer技术的专家系统可根据系统手动执行的计算结果,通过计算患者所经历的症状来诊断患者或用户的帕金森病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Pakar Dalam Mendiagnosa Penyakit Parkinson Menerapkan Metode Dempster-Shafer
After Alzheimer's disease, Parkinson's disease is the most common neurodegenerative condition affecting people. Millions of people, or about 1% of the world's population, are affected by Parkinson's disease. Parkinson's disease is a neurodegenerative condition of the central nervous system that affects the motor system and develops over time. Even though Parkinson's disease is an uncommon condition, a tool is created by utilizing an expert system to identify this condition from the symptoms experienced by the patient. Based on the user's perceived trust value, the expert system generates disease opportunities. The Dempster-Shafer approach technique is used to calculate the trust value. The Dempster-Shafer approach reduces uncertainty and results in a correct diagnosis. the result of the inclusion or deletion of new data, such as details about symptoms and disease. Under this approach, specialists are valued for the knowledge they possess. This method rewards professionals for the knowledge they possess. Dempster-Shafer This investigation will use a diagnostic approach to Parkinson's disease. Based on the results of the procedure for applying the Dempster-Shafer method, it was determined that the patient showed some symptoms of Parkinson's disease, and it was determined that the patient had stage 2 Parkinson's disease with an accuracy value of 0.944 or a percentage of 94%. An expert system with the Dempster-Shafer technique can be used to diagnose Parkinson's disease in patients or users by calculating the symptoms experienced by the patient, according to the results of calculations performed manually by the system.
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