Rule based fuzzy logic approach for classification of fibromyalgia syndrome
Rule based fuzzy logic approach for classification of fibromyalgia syndrome
复制标题
基于规则的模糊逻辑方法用于纤维肌痛综合征的分类
DOI：
10.1007/s13246-016-0452-z
复制
发表时间：
2016
影响因子：
--
通讯作者：
E. Koklukaya
中科院分区：
文献类型：
--
作者：
Evren Arslan;S. Yıldız;Y. Albayrak;E. Koklukaya
纤维肌痛综合征（FMS）是一种常见于女性的慢性肌肉和骨骼系统疾病，表现为广泛的疼痛并损害个体的生活质量。FMS诊断是根据美国流变学学会（ACR）标准进行的。然而，最近的就业能力和ACR标准的充分性正在争论之中。在此背景下，研究者提出了几种评价方法，包括临床评价方法。因此，ACR不得不更新他们在1990年、2010年和2011年宣布的标准。建议基于规则的模糊逻辑方法的目的是评估FMS在不同的角度，以及。该方法包含一个规则库，来自1990年ACR标准和专家的个人经验。该研究使用从60名住院患者和30名健康志愿者收集的数据进行。对参与者进行了几项测试和体检。模糊逻辑规则库的结构使用压痛点计数，慢性广泛疼痛的时间，疼痛的严重程度，疲劳的严重程度和睡眠障碍水平，这被认为是重要的FMS诊断参数。据观察，一般模糊预测器是95.56%一致的至少专家，谁不是模糊规则库的创建者。因此，在诊断分类的严重程度FMS的分类，以及，一致的结果，从比较的解释和经验的专家和模糊逻辑的方法。本研究提出一个规则库，可以消除1990年ACR标准在FMS评估过程中的缺点。此外，所提出的方法提出了一种疾病的严重程度，这是不可用的ACR标准的分类。该研究不仅限于疾病分类，同时还对发生概率和严重程度进行了分类。此外，对未患FMS的患者在其他患者组中的状况进行了评价。
Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual’s quality of life. FMS diagnosis is made based on the American College of Rheumatology (ACR) criteria. However, recently the employability and sufficiency of ACR criteria are under debate. In this context, several evaluation methods, including clinical evaluation methods were proposed by researchers. Accordingly, ACR had to update their criteria announced back in 1990, 2010 and 2011. Proposed rule based fuzzy logic method aims to evaluate FMS at a different angle as well. This method contains a rule base derived from the 1990 ACR criteria and the individual experiences of specialists. The study was conducted using the data collected from 60 inpatient and 30 healthy volunteers. Several tests and physical examination were administered to the participants. The fuzzy logic rule base was structured using the parameters of tender point count, chronic widespread pain period, pain severity, fatigue severity and sleep disturbance level, which were deemed important in FMS diagnosis. It has been observed that generally fuzzy predictor was 95.56 % consistent with at least of the specialists, who are not a creator of the fuzzy rule base. Thus, in diagnosis classification where the severity of FMS was classified as well, consistent findings were obtained from the comparison of interpretations and experiences of specialists and the fuzzy logic approach. The study proposes a rule base, which could eliminate the shortcomings of 1990 ACR criteria during the FMS evaluation process. Furthermore, the proposed method presents a classification on the severity of the disease, which was not available with the ACR criteria. The study was not limited to only disease classification but at the same time the probability of occurrence and severity was classified. In addition, those who were not suffering from FMS were evaluated for their conditions in other patient groups.
影响因子：
--
作者：
Giesecke, T;Gracely, RH;Clauw, DJ
通讯作者：
Clauw, DJ
影响因子：
5.9
作者：
BECK, AT;BROWN, G;STEER, RA
通讯作者：
STEER, RA