AIMC Topic: Fuzzy Logic

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Brain tissue segmentation using fuzzy clustering techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Medical image segmentation is an essential step for most consequent image analysis tasks. Medical images can be segmented manually, but the accuracy of image segmentation using the automated segmentation algorithms is more when compared w...

An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for chronic bronchitis have been reported in existing research.

Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.

Bio-medical materials and engineering
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...

Control of HIV/AIDS infection system with drug dosages design via robust H(∞) fuzzy controller.

Bio-medical materials and engineering
The designing of H∞ fuzzy controller for HIV/AIDS infected dynamic system has been considered in this paper. With TS fuzzy model and LMIs approach, the proposed controller is obtained for such a system. A set of sufficient conditions of the H∞ contro...

An effective fuzzy kernel clustering analysis approach for gene expression data.

Bio-medical materials and engineering
Fuzzy clustering is an important tool for analyzing microarray data. A major problem in applying fuzzy clustering method to microarray gene expression data is the choice of parameters with cluster number and centers. This paper proposes a new approac...

Fuzzy Naive Bayesian for constructing regulated network with weights.

Bio-medical materials and engineering
In the data mining field, classification is a very crucial technology, and the Bayesian classifier has been one of the hotspots in classification research area. However, assumptions of Naive Bayesian and Tree Augmented Naive Bayesian (TAN) are unfair...

Nonholonomic mobile system control by combining EEG-based BCI with ANFIS.

Bio-medical materials and engineering
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices, such as the mobile robot or wheelchair, because the subject is not exposed to any stimulation and suffers no risk of fatigue. However, the intensive ...

A novel approach for arrhythmia diagnosis: Self-adaptive and distribution-free mode.

Bio-medical materials and engineering
Arrhythmia diagnosis is very significant to ensure human health. In this paper, a new model is developed for arrhythmia diagnosis. A salient feature of the algorithm is a synergistic combination of statistical and fuzzy set-based techniques. It is di...

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.

IEEE/ACM transactions on computational biology and bioinformatics
Performing clustering analysis is one of the important research topics in cancer discovery using gene expression profiles, which is crucial in facilitating the successful diagnosis and treatment of cancer. While there are quite a number of research w...

Fuzzy-Arden-Syntax-based, Vendor-agnostic, Scalable Clinical Decision Support and Monitoring Platform.

Studies in health technology and informatics
This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for r...