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Fuzzy Logic (0):
Recent article
Fuzzy Logic
Abstract
In this paper, an automatic and unsupervised snore detection algorithm is proposed. The respiratory sound signals of 30 patients with different levels of airway obstruction were recorded by two microphones: one placed over the trachea (the tracheal microphone), and the other was a freestanding microp...
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PMID: 20679022
PDF is available here.
PDF is available here.
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Abstract
Auditory development is disrupted without normal hearing but might proceed to some extent depending on the type and onset of deafness. We therefore hypothesized that activity in the auditory cortex would be highly variable in children who are deaf.
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PMID: 21094084
PDF is available here.
PDF is available here.
Abstract
Auditory development is disrupted without normal hearing but might proceed to some extent depending on the type and onset of deafness. We therefore hypothesized that activity in the auditory cortex would be highly variable in children who are deaf.
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PMID: 21094084
PDF is available here.
PDF is available here.
Abstract
Sustainable ecological and environmental development is the basis of regional development. The sensitivity classification of the ecological environment is the premise of its spatial distribution for land use planning. In this paper, a fuzzy matter-element model and factor-overlay met...
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PMID: 21695036
PDF is available here.
PDF is available here.
Georgian medical news ()193 2011
Abstract
We present the results of our research and organizational work aimed at the management optimization for the rare diseases in Georgia (the Country with Transitional Economy). We compiled a list of the rare diseases actual for Georgia; elaborated algorythms and expert systems supporting the diagnosis...
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PMID: 21617265
PDF is available here.
PDF is available here.
Abstract
Game theory is an important component of complex system theory, specially used in describing bilateral or multiple cooperation and confrontation. Traditional Chinese medicine (TCM) prescription doctrines cover multiple connotation of game theory. Firstly multi-components of Siwu decoction were analyz...
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PMID: 21809589
PDF is available here.
PDF is available here.
Abstract
We present a supervised microcalcifications detection method based on Fisher's Linear Discriminant. Our method considers knowledge about breast density allowing it to identify microcalcifications even in difficult cases (when there is not high contrast between the microcalcification and the surround...
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PMID: 21431585
PDF is available here.
PDF is available here.
Abstract
We develop a genetic algorithm (GA)-based multiple regression with fuzzy inference system (FIS) to classify the presence of hypoglycemic episodes. GA is used to find the optimal fuzzy rules and membership functions of FIS and the model parameters of regression method. From a clinical study of 16 chi...
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PMID: 21349796
PDF is available here.
PDF is available here.
Abstract
This paper studies the problem of stabilization for sampled-data neural-network-based control systems with an optimal guaranteed cost. Unlike previous works, the resulting closed-loop system with variable uncertain sampling cannot simply be regarded as an ordinary continuous-time system with a fast-v...
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PMID: 20601315
PDF is available here.
PDF is available here.
Abstract
A novel method for hand movement pattern recognition from electromyography (EMG) biological signals is proposed. These signals are recorded by a three-channel data acquisition system using surface electrodes placed over the forearm, and then processed to recognize five hand movements: opening, closin...
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PMID: 21431560
PDF is available here.
PDF is available here.
Abstract
High resolution, multispectral, and multimodal imagery of tissue biopsies is an indispensable source of information for diagnosis and prognosis of diseases. Automatic extraction of relevant features from these imagery is a valuable assistance for medical experts. A primary step in computational histo...
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PMID: 21431581
PDF is available here.
PDF is available here.
Abstract
Medical image fusion has been used to derive the useful complimentary information from multimodal images. The prior step of fusion is registration or proper alignment of test images for accurate extraction of detail information. For this purpose, the images to be fused are geometrically aligned using...
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PMID: 21431584
PDF is available here.
PDF is available here.
Abstract
In the present work, authors have developed a treatment planning system implementing genetic based neuro-fuzzy approaches for accurate analysis of shape and margin of tumor masses appearing in breast using digital mammogram. It is obvious that a complicated structure invites the problem of over learn...
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PMID: 21431593
PDF is available here.
PDF is available here.
Abstract
We proposed a generalised fuzzy-based approach, namely Weighted Fuzzy-based Maximum Similarity Biclustering (WF-MSB), for extracting a query-driven bicluster based on the user-defined reference gene. A fuzzy-based similarity measurement and condition weighting approach are used to extract significan...
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PMID: 21491846
PDF is available here.
PDF is available here.
Abstract
We propose a CP that makes use of evolved rule sets generated by a genetic algorithm (GA). The rule-based GA has the advantage of being human readable. We apply our method on two real-world datasets for medical diagnosis, one dataset for breast cancer diagnosis, which contains data gathered from fin...
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PMID: 21062682
PDF is available here.
PDF is available here.
Abstract
A new fuzzy algorithm for assessing white matter connectivity in the brain using diffusion-weighted magnetic resonance images is presented. The proposed method considers anatomical paths as chains of linked neighbouring voxels. Links between neighbours are assigned weights using the respective fibre...
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PMID: 19762214
PDF is available here.
PDF is available here.
Abstract
The fusion of fuzzy local binary patterns and fuzzy grey-level histogram features is more effective than the state of the art approaches for the representation of thyroid ultrasound patterns and can be effectively utilized for the detection of nodules of high malignancy risk in the context of an int...
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PMID: 20427164
PDF is available here.
PDF is available here.
Abstract
We propose its approximation by a special form of a Brunovsky type neuro-fuzzy dynamical system (NFDS) assuming also the existence of disturbance expressed as modeling error terms depending on both input and system states plus a not-necessarily-known constant value. The development is combined with...
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PMID: 20726041
PDF is available here.
PDF is available here.
Risk Analysis (30)8 2010
Abstract
In human reliability analysis (HRA), dependence analysis refers to assessing the influence of the failure of the operators to perform one task on the failure probabilities of subsequent tasks. A commonly used approach is the technique for human error rate prediction (THERP). The assessment of the de...
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PMID: 20497396
PDF is available here.
PDF is available here.
Abstract
We propose a design for a computerized sleep scoring method, which is based on a fuzzy classifier and a genetic algorithm (GA). We design the fuzzy classifier based on the GA using a single electroencephalogram (EEG) signal that detects differences in spectral features. Polysomnography was performed...
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PMID: 20541183
PDF is available here.
PDF is available here.
Abstract
Regional air pollution is a major concern for almost every country because it not only directly relates to economic development, but also poses significant threats to environment and public health. In this study, an inexact fuzzy-chance-constrained air quality management model (IFAMM) was developed...
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PMID: 20681428
PDF is available here.
PDF is available here.
Abstract
We investigate the use of a new knowledge-based fuzzy logic technique to derive radiotherapy margins based on radiotherapy uncertainties and their radiobiological effects. The main radiotherapy uncertainties considered and used to build the model were delineation, set-up and organ motion-induced err...
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PMID: 20479517
PDF is available here.
PDF is available here.
Abstract
This work investigates the performance of neuro-fuzzy system for analyzing and classifying EMG signals recorded from normal, neuropathy, and myopathy subjects. EMG signals were obtained from 177 subjects, 60 of them had suffered from neuropathy disorder, 60 of them had suffered from myopathy disorde...
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PMID: 20503617
PDF is available here.
PDF is available here.
Abstract
Pulmonary Function Tests (PFTs) are very important in the medical evaluation of patients suffering from "shortness of breath", and they are effectively used for the diagnosis of pulmonary diseases, such as COPD (i.e. chronic obstructive pulmonary diseases). Measurement of Forced Vital Capacity (FVC)...
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PMID: 20503608
PDF is available here.
PDF is available here.
Abstract
In this study, a fuzzy robust credibility-constrained programming (FRCCP) is developed and applied to the planning for waste management systems. It incorporates the concepts of credibility-based chance-constrained programming and robust programming within an optimization framework. The developed met...
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PMID: 20564997
PDF is available here.
PDF is available here.
Abstract
Precision was high, as the lowest accuracy in the synthetic datasets was 93%. Both FPM strategies successfully improved overall accuracy. Whole-brain accuracy for the FCM segmentation alone ranged from 45%-81%, which improved to 75%-85% using the FPM strategies. CONCLUSION: The method was accurate a...
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PMID: 20512882
PDF is available here.
PDF is available here.
Abstract
We develop efficient algorithms to solve the enzymatic target identification problem in this paper. Unlike existing algorithms, our method works for a broad set of metabolic network models. We measure the effect of the knockouts of a set of enzymes as a function of the deviation of the steady state...
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PMID: 20479507
PDF is available here.
PDF is available here.
Abstract
In Intensive Care Units doctors have to manage several alarm situations in patients. When a doctor analyzes the state of the patient, (s)he has to decide if there is an alarm situation and make decisions about what actions to perform. It is desirable to detect these situations before they occur, bec...
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PMID: 20004039
PDF is available here.
PDF is available here.
Abstract
Fuzzy Arden Syntax offers the possibility to formulate conveniently Medical Logic Modules (MLMs) based on the principle of a continuously graded applicability of statements. Furthermore, ad hoc decisions about sharp value boundaries can be avoided. As an illustrative example shows, an MLM making use...
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PMID: 20167457
PDF is available here.
PDF is available here.
Abstract
We present a physiological data fusion model for multisensor WHMS called Prognosis. The proposed methodology is based on a fuzzy regular language for the generation of the prognoses of the health conditions of the patient, whereby the current state of the corresponding fuzzy finite-state machine sig...
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PMID: 20123575
PDF is available here.
PDF is available here.
Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban (21)5 2010
Abstract
Our case study in Pingshan River Basin, a typical urbanizing area of Shenzhen, showed that geographic condition was the primary factor in determining the intensity of human disturbance on wetland ecosystem services. The main disturbance pattern in the south hilly area was vegetation degeneration, bu...
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PMID: 20707092
PDF is available here.
PDF is available here.
Abstract
This paper is concerned with the design and development of an automatic mass classification of mammograms. The proposed method consists of three stages. In the first stage, preprocessing is performed to remove the pectoral muscles and to segment regions of interest. In the next stage contourlet tran...
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PMID: 20181330
PDF is available here.
PDF is available here.
Abstract
The activities of a series of HIV reverse transcriptase inhibitor TIBO derivatives were recently modeled by using genetic function approximation (GFA) and artificial neural networks (ANN) on topological, structural, electronic, spatial and physicochemical descriptors. The prediction results were fou...
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PMID: 20060625
PDF is available here.
PDF is available here.
Abstract
Deep Brain Stimulation (DBS) has been successfully used throughout the world for the treatment of Parkinson's disease symptoms. To control abnormal spontaneous electrical activity in target brain areas DBS utilizes a continuous stimulation signal. This continuous power draw means that its implanted...
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PMID: 20411594
PDF is available here.
PDF is available here.
Abstract
The indirect adaptive regulation of unknown nonlinear dynamical systems with multiple inputs and states (MIMS) under the presence of dynamic and parameter uncertainties, is considered in this paper. The method is based on a new neuro-fuzzy dynamical systems description, which uses the fuzzy partitio...
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PMID: 20411596
PDF is available here.
PDF is available here.
Abstract
We present a data-driven modeling of the insulin dynamics in different in silico patients using a recurrent neural network with output feedback. The inputs for the identification is the rate of insulin (microU/dl/min) applied to the patient, and blood glucose concentration. The output is insulin con...
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PMID: 20411597
PDF is available here.
PDF is available here.
Amino Acids (38)4 2010
Abstract
Apoptosis proteins have a central role in the development and the homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death. The function of an apoptosis protein is closely related to its subcellular location. It is crucial to develop powe...
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PMID: 19048186
PDF is available here.
PDF is available here.
Cell Biochemistry and Biophysics (56)2-3 2010
Abstract
We compared skeletal development, signal, biological regulation, sequence variant modules between human normal adjacent tissues and lung adenocarcinoma. SPP1 skeletal development module appears in human normal adjacent tissues (COL11A1_1 activation; COL10A1 inhibition), whereas in lung adenocarcinom...
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PMID: 19949890
PDF is available here.
PDF is available here.
Abstract
Differentiation of DCIS from IDC lesions yielded an area under the receiver operating characteristic curve (AUC) of 0.83 +/- 0.03 (standard error). AUCs were 0.85 +/- 0.02 for differentiation between IDC and benign lesions and 0.79 +/- 0.03 for differentiation between DCIS and benign lesions. Differ...
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PMID: 20123903
PDF is available here.
PDF is available here.
Abstract
The proposed IOSPEM successfully integrated the quantitative and qualitative indices into a sole quantitative index. Experiment results show that the IOSPEM incorporating the simulated annealing algorithm is able to obtain the most efficient OR schedule and is helpful in reducing costs and fatigue r...
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PMID: 20220612
PDF is available here.
PDF is available here.
Abstract
The inductive effect of L-ascorbate on the microbiological production of L-dopa (3,4-dihydroxy-L-phenylalanine) from Aspergillus oryzae NRRL-1560 was investigated. All biochemical reactions were performed aerobically using mould mycelia as a source of enzyme tyrosinase and acetate buffer (pH 3.0) as...
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PMID: 20121699
PDF is available here.
PDF is available here.
Medical Physics (37)3 2010
Abstract
A novel unsupervised PET image segmentation technique that allows the quantification of lesions in the presence of heterogeneity of tracer uptake was developed and evaluated. The technique is being further refined and assessed in clinical setting to delineate treatment volumes for the purpose of PET...
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PMID: 20384268
PDF is available here.
PDF is available here.
Abstract
Our method is very promising for semiautomated separation of arteries and veins in pulmonary CT images even when there is no object-specific intensity variation at conjoining locations....
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PMID: 20199919
PDF is available here.
PDF is available here.
Abstract
We determined highest SUVmax and SUVmean, cumulative TLG (TLGcum) and sum of all LVol (TVol) and compared their predictive value on response (complete or partial response according to IWC) to RIT with those of conventional prognostic factors in group A and B.
A total of 154 lesions w...
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PMID: 19820933
PDF is available here.
PDF is available here.
Waste Management (30)3 2010
Abstract
In this study, an interval-parameter semi-infinite fuzzy-chance-constrained mixed-integer linear programming (ISIFCIP) approach is developed for supporting long-term planning of waste-management systems under multiple uncertainties in the City of Regina, Canada. The method improves upon the existing...
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PMID: 19854040
PDF is available here.
PDF is available here.
Abstract
Using fuzzy set theory, this paper presents results from risk analyses that explore potential exposure of medical operators working in a high dose rate brachytherapy irradiation plant. In these analyses, the HEART methodology, a first generation method for human reliability analysis, has been employ...
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PMID: 20220212
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
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PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
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PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
|
PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
|
PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
|
PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
|
PMID: 20033208
PDF is available here.
PDF is available here.
Biological Cybernetics (102)2 2010
Abstract
We proposed a new measure, cross-fuzzy entropy (X-FuzzyEn), to describe the synchronicity of patterns. The performances of three statistics were first quantitatively tested using five different coupled systems including both deterministic and stochastic models, i.e., coupled broadband noises, Lorenz...
|
PMID: 20033208
PDF is available here.
PDF is available here.
Abstract
A discrete-time jump fuzzy system with two hidden Markov models (HMMs) is proposed to portray the asymmetric network characteristic of a class of nonlinear networked control systems (NCSs) with random but bounded communication delays and packets dropout. The less conservative state feedback controll...
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PMID: 20180253
PDF is available here.
PDF is available here.
Abstract
A classification system that accurately categorizes caller interaction within Interactive Voice Response systems is essential in determining caller behaviour. Field and call performance classifier for pay beneficiary application are developed. Genetic Algorithms, Multi-Layer Perceptron neural networ...
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PMID: 20180256
PDF is available here.
PDF is available here.
Abstract
This paper describes a signal processing technique for ECG signal analysis based upon the combination of wavelet analysis and fuzzy c-means clustering. The signal analysis technique is implemented into a biomedical signal diagnostic unit that is the carry on device for the Wireless Nano-Bios Diagnos...
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PMID: 20192057
PDF is available here.
PDF is available here.
Abstract
We look for detecting the hottest regions of abnormal breasts which are the suspected regions. The effect of IR camera sensitivity on the number of clusters in segmentation is also investigated. When the camera is ultra sensitive the number of clusters being considered may be increased....
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PMID: 20192053
PDF is available here.
PDF is available here.
Abstract
We concentrate to build an expert system for a problem where task is to determine where patients in a postoperative recovery area should be sent to next. Data set created from postoperative patients is used to build proposed expert system to determine, based on hypothermia condition, whether patient...
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PMID: 20865480
PDF is available here.
PDF is available here.
Abstract
We propose two new approaches, FM-GA and CM-GA, to identify significant genes from microarray datasets. FM-GA and CM-GA combine our innovative FM-test and CM-test with genetic algorithm (GA), respectively, and leverage the strengths of GA. The performance of FM-GA and CM-GA was evaluated by the clas...
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PMID: 20865502
PDF is available here.
PDF is available here.
Abstract
This chapter presents a fuzzy-based method for contrast enhancement of mammography images. The selection of appropriate parameters for the required transformations is performed based on image-specific characteristics. The extraction of the breast border is the first step in this method. Images are t...
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PMID: 20865547
PDF is available here.
PDF is available here.