AIMC Topic: Fuzzy Logic
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[A Fuzzy Logic Model-based Advisory System for Mechanical Ventilation].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aug 1, 2016
In the clinical practice,the mechanical ventilation is a very important assisting method to improve the patients’ breath.Whether or not the parameters set for the ventilator are correct would affect the pulmonary gas exchange.In this study,we try to ...
FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model.
Oncotarget
Jul 19, 2016
Accumulating experimental studies have indicated the influence of lncRNAs on various critical biological processes as well as disease development and progression. Calculating lncRNA functional similarity is of high value in inferring lncRNA functions...
A fuzzy logic controller based approach to model the switching mechanism of the mammalian central carbon metabolic pathway in normal and cancer cells.
Molecular bioSystems
Jul 19, 2016
Dynamics of large nonlinear complex systems, like metabolic networks, depend on several parameters. A metabolic pathway may switch to another pathway in accordance with the current state of parameters in both normal and cancer cells. Here, most of th...
[Evaluation of effect of acupuncture and moxibustion and level of intervention based on cumulative Meta-analysis and fuzzy comprehensive evaluation:sudden hearing loss].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Jul 12, 2016
Clinical evidences of acupuncture and moxibustion for sudden hearing loss(SHL) were completely collected, and the quality of the evidences was evaluated by Jadad scale. Cumulative Meta-analysis and the time tendency test for the results were implemen...
Applying fuzzy logic to estimate the parameters of the length-weight relationship.
Brazilian journal of biology = Revista brasleira de biologia
May 3, 2016
We evaluated three mathematical procedures to estimate the parameters of the relationship between weight and length for Cichla monoculus: least squares ordinary regression on log-transformed data, non-linear estimation using raw data and a mix of mul...
Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness.
Medical physics
May 1, 2016
PURPOSE: There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic magnetic resonance imagin...
A modified fuzzy C-means method for segmenting MR images using non-local information.
Technology and health care : official journal of the European Society for Engineering and Medicine
Apr 29, 2016
BACKGROUND: In recent years, MR images have been increasingly used in therapeutic applications such as image-guided radiotherapy (IGRT). However, images with low contrast values and noises present challenges for image segmentation.
A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.
Technology and health care : official journal of the European Society for Engineering and Medicine
Apr 29, 2016
Finding the minimum number of appropriate biomarkers for specific targets such as a lung cancer has been a challenging issue in bioinformatics. We propose a hierarchical two-phase framework for selecting appropriate biomarkers that extracts candidate...
Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.
Neuroinformatics
Apr 1, 2016
Digital reconstruction of neuronal cell morphology is an important step toward understanding the functionality of neuronal networks. Neurons are tree-like structures whose description depends critically on the junctions and terminations, collectively...
[The Identification of Lettuce Varieties by Using Unsupervised Possibilistic Fuzzy Learning Vector Quantization and Near Infrared Spectroscopy].
Guang pu xue yu guang pu fen xi = Guang pu
Mar 1, 2016
To solve the noisy sensitivity problem of fuzzy learning vector quantization (FLVQ), unsupervised possibilistic fuzzy learning vector quantization (UPFLVQ) was proposed based on unsupervised possibilistic fuzzy clustering (UPFC). UPFLVQ aimed to use ...
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