Department of Electronics and Computer Education, Technical Education Faculty, Alaeddin Keykubat Campus, Selcuk University, Selçuklu, 42003 Konya, Turkey.
Comput Biol Med. 2011 Jun;41(6):350-6. doi: 10.1016/j.compbiomed.2011.03.012. Epub 2011 Apr 13.
Diabetes is a chronic and complex endocrine disease with metabolic disorders caused by the imbalance between secreted and needed insulin levels. In the present study, all probabilities were examined considering ten (10) indications (2¹⁰=1024 different cases) of diabetes using medical expert system (MES), and accordingly, a truth table was established. This table was simplified by the simplification method of logic functions. 15 main rules were obtained using minimization method for Boolean Functions (BFs). These rules established rules base of ES. Subsequently, the parameters of 768 patients were compared with this ES. Accuracy rate of the estimations of MES, created as a result these comparisons, was determined as 97.13% in diabetes patients, 97% in non-diabetes patients, 96.5% in Type 1 patients, 98.26% in Type 2 patients and 97.44% in pregnant patients.
糖尿病是一种由分泌和需要的胰岛素水平失衡引起的慢性和复杂的内分泌疾病。在本研究中，使用医学专家系统（MES）考虑了十种（10）糖尿病的适应症（2¹⁰=1024 种不同情况），并相应地建立了一个真值表。通过逻辑函数的简化方法简化了该表。使用布尔函数（BF）的最小化方法获得了 15 条主要规则。这些规则建立了 ES 的规则基础。随后，将 768 名患者的参数与该 ES 进行了比较。MES 估计的准确性，作为这些比较的结果，在糖尿病患者中为 97.13%，在非糖尿病患者中为 97%，在 1 型患者中为 96.5%，在 2 型患者中为 98.26%，在孕妇中为 97.44%。
