Minimization Algorithms for Multiple-Valued Programmable Logic Arrays
IEEE Transactions on Computers
Logic Minimization Algorithms for VLSI Synthesis
Logic Minimization Algorithms for VLSI Synthesis
A Neural Network Approach in Diabetes Management by Insulin Administration
Journal of Medical Systems
Large-scale SOP minimization using decomposition and functional properties
Proceedings of the 40th annual Design Automation Conference
Reduced offsets for minimization of binary-valued functions
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Complexity of two-level logic minimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
| Hi-index | 0.00 |
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 (2^1^0=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.