AIMC Topic:
Fuzzy Logic

Clear Filters Showing 1231 to 1240 of 1485 articles

Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.

Biomedical engineering online
BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term vari...

ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster.

TheScientificWorldJournal
The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection s...

Fuzzy Index to Evaluate Edge Detection in Digital Images.

PloS one
In literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics compare two images, the first one is the reference edge...

Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.

Medical & biological engineering & computing
Prolonged diabetes retinopathy leads to diabetes maculopathy, which causes gradual and irreversible loss of vision. It is important for physicians to have a decision system that detects the early symptoms of the disease. This can be achieved by build...

A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Computer methods and programs in biomedicine
Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the early 1980s in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth or seventh i...

Vascular segmentation in hepatic CT images using adaptive threshold fuzzy connectedness method.

Biomedical engineering online
BACKGROUND: Fuzzy connectedness method has shown its effectiveness for fuzzy object extraction in recent years. However, two problems may occur when applying it to hepatic vessel segmentation task. One is the excessive computational cost, and the oth...

Fuzzy association rule mining and classification for the prediction of malaria in South Korea.

BMC medical informatics and decision making
BACKGROUND: Malaria is the world's most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality.

Performance Analysis of Hospital Managers Using Fuzzy AHP and Fuzzy TOPSIS: Iranian Experience.

Global journal of health science
BACKGROUND AND OBJECTIVES: Hospitals are complex organizations that require strong and effective management. The success of such organizations depends on the performance of managers. This study provides a comprehensive set of indicators to assess the...

A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps.

IEEE transactions on neural networks and learning systems
Self-organizing map (SOM)-based motif mining, despite being a promising approach for problem solving, mostly fails to offer a consistent interpretation of clusters with respect to the mixed composition of signal and noise in the nodes. The main reaso...

Using the Fuzzy DEMATEL to Determine Environmental Performance: A Case of Printed Circuit Board Industry in Taiwan.

PloS one
The method by which high-technology product manufacturers balance profits and environmental performance is of crucial concern for governments and enterprises. To examine the environmental performance of manufacturers, the present study applied Fuzzy-...