Self Organising Fuzzy Logic Classifier for Predicting Type-2 Diabetes Mellitus using ACO-ANN

Multi-objective Genetic Optimisation for Self-organising Fuzzy Logic Control

A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control algorithm (SOFLC). The tuning of the SOFLC optimization is based on selection of the best shaped performance index for modifying the rulebase on-line. A comparative study is conducted between various methods of multi-objective genetic optimisation using the SOFLC...

Variable Impedance Control for Rehabilitation Robot using Interval Type-2 Fuzzy Logic

In this study, a novel variable impedance control for a lower-limb rehabilitation robotic system using voltage control strategy is presented. The majority of existing control approaches are based on control torque strategy, which require the knowledge of robot dynamics as well as dynamic of patients. This requires the controller to overcome complex problems such as uncertainties and nonlinearit...

Predicting Medication Adherence Based on Personality Characteristics in Individuals with Type 2 Diabetes Mellitus

Objective: Diabetes mellitus is a chronic illness and adherence to medications is vital to manage the illness. The purpose of this study was to examine the prediction of medication adherence based on personality factors in a group of individuals with type 2 diabetes in Yasuj. Materials and Methods: One hundred twenty individuals with type 2 diabetes who visited health centers were selected for...

Predicting type 2 diabetes mellitus and insulin resistance

A Rule Extractor for Diagnosing the Type 2 Diabetes Using a Self-organizing Genetic Algorithm

Introduction: Constructing medical decision support models to automatically extract knowledge from data helps physicians in early diagnosis of disease. Interpretability of the inferential rules of these models is a key indicator in determining their performance in order to understand how they make decisions, and increase the reliability of their output. Methods: In this study, an automated hyb...