AIMC Journal:
Computer methods and programs in biomedicine

Showing 741 to 750 of 863 articles

Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

Computer methods and programs in biomedicine Oct 12, 2017
BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immunoinformatic problem within epitope-based vaccine design. Epitopes or antigenic peptides are a set of amino acids that bind with the Major Histocompati...
Humans Algorithms T-Lymphocytes Area Under Curve Epitopes ROC Curve Vaccines Support Vector Machine
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Recognition of pigment network pattern in dermoscopy images based on fuzzy classification of pixels.

Computer methods and programs in biomedicine Oct 7, 2017
BACKGROUND AND OBJECTIVE: One of the most relevant dermoscopic patterns is the pigment network. An innovative method of pattern recognition is presented for its detection in dermoscopy images.
Pattern Recognition, Automated Dermoscopy Pigments, Biological Fuzzy Logic
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Middle Aged Cognitive Dysfunction Dementia Sensitivity and Specificity Male Regression Analysis Sex Factors Nonlinear Dynamics ROC Curve Age Factors Machine Learning Prognosis Aged Aged, 80 and over Female Humans Neural Networks, Computer Early Diagnosis
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A deep learning-based multi-model ensemble method for cancer prediction.

Computer methods and programs in biomedicine Sep 14, 2017
BACKGROUND AND OBJECTIVE: Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughput sequencing technology and the application of various machine learning methods that have emerged i...
Models, Theoretical Gene Expression Humans Machine Learning Neural Networks, Computer Neoplasms
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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

Computer methods and programs in biomedicine Sep 8, 2017
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden o...
Diabetes Mellitus Bayes Theorem Machine Learning Discriminant Analysis Algorithms Humans Reproducibility of Results
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The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci.

Computer methods and programs in biomedicine Aug 30, 2017
BACKGROUND AND OBJECTIVES: We introduce the R-package GenomicTools to perform, among others, a Multifactor Dimensionality Reduction (MDR) for the identification of SNP-SNP interactions. The package further provides a new class of tests for an (explor...
Multifactor Dimensionality Reduction Software Models, Genetic Algorithms Genomics Polymorphism, Single Nucleotide Quantitative Trait Loci Computational Biology
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Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.

Computer methods and programs in biomedicine Aug 24, 2017
BACKGROUND AND OBJECTIVE: Retinal vascular tree extraction plays an important role in computer-aided diagnosis and surgical operations. Junction point detection and classification provide useful information about the structure of the vascular network...
Retinal Vessels Humans Machine Learning Models, Statistical Algorithms Likelihood Functions Diagnosis, Computer-Assisted Normal Distribution
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Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation.

Computer methods and programs in biomedicine Aug 8, 2017
BACKGROUND AND OBJECTIVE: This paper proposes a deep learning based ensemble regression estimator with asymptotic techniques, and offers a method that can decrease uncertainty for oscillometric blood pressure (BP) measurements using the bootstrap and...
Algorithms Blood Pressure Determination Monte Carlo Method Oscillometry Blood Pressure Neural Networks, Computer Machine Learning Humans
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An Alzheimers disease related genes identification method based on multiple classifier integration.

Computer methods and programs in biomedicine Aug 8, 2017
BACKGROUND AND OBJECTIVE: Alzheimers disease (AD) is a fatal neurodegenerative disease and the onset of AD is insidious. Full understanding of the AD-related genes (ADGs) has not been completed. The National Center for Biotechnology Information (NCBI...
Alzheimer Disease Sensitivity and Specificity Humans Computational Biology Algorithms Support Vector Machine
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Multi-model-based interactive authoring environment for creating shareable medical knowledge.

Computer methods and programs in biomedicine Jul 22, 2017
OBJECTIVE: Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward...
Decision Support Systems, Clinical Humans Knowledge Bases Clinical Decision-Making
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