Application of fuzzy reasoning in an expert system for ultrasonography.
Application of fuzzy reasoning in an expert system for ultrasonography.
复制标题
模糊推理在超声检查专家系统中的应用。
DOI：
10.1038/sj.dmfr.4600225
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
S. Kanda
中科院分区：
文献类型：
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作者：
T. Tanaka;K. Miwa;S. Kanda
为了将模糊推理应用于计算机辅助超声诊断系统中，并评估其临床实用性，为不熟练的临床医生提供诊断帮助，建立了用于区分转移性淋巴结和炎性淋巴结的计算机辅助超声诊断系统。一个熟练的临床医生的考虑模式进行了模拟与模糊专家系统。根据淋巴结病的诊断标准，建立了三条模糊产生式规则。每个规则被转换成一个隶属函数。采用最大最小合成法进行推理，质心法进行解模糊。该系统进行了测试，20名临床医生谁是一到三年毕业后，在超声经验不足。结果表明，该方法准确性平均提高8.5%，敏感性提高10.7%，特异性提高6.4%。这些分数是显着的准确性（P = 0.005），敏感性（P = 0.02）和特异性（P = 0.036）。CONCLUSIONSApplication的模糊推理在专家系统超声检查提高了诊断性能的经验不足的临床医生。
OBJECTIVESTo apply fuzzy reasoning in a computer-assisted diagnostic system for ultrasonography and to evaluate its clinical utility as a diagnostic aid for the unskilled clinician.METHODSA computer-assisted diagnostic system for ultrasonography was constructed to differentiate metastatic from inflammatory lymph nodes. The pattern of a skilled clinician's considerations was simulated with the fuzzy expert system. Three fuzzy production rules were set up according to the diagnostic criteria for lymphadenopathy. Each rule was transformed into a membership function. The max-min composition method was used for inference and the centroid method for defuzzification. The system was tested with 20 clinicians who were one to three years after graduation and inexperienced in ultrasonography. Accuracy, sensitivity and specificity were evaluated.RESULTSThe average increase in accuracy was 8.5%, and the sensitivity and specificity 10.7% and 6.4% respectively. These scores were significant for accuracy (P = 0.005), sensitivity (P = 0.02) and specificity (P = 0.036).CONCLUSIONSApplication of fuzzy reasoning in an expert system for ultrasonography improves the diagnostic performance of inexperienced clinicians.