AI Medical Compendium Topic:
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A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2018
In this paper a novel training technique is proposed to offer an efficient solution for neural network training in non-trivial and critical applications such as the diagnosis of health threatening illness. The presented technique aims to enhance the ...
Neural Networks, Computer Electrocardiography Models, Statistical Heart Diseases Humans
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Deep learning for supervised classification of spatial epidemics.

Spatial and spatio-temporal epidemiology Aug 29, 2018
In an emerging epidemic, public health officials must move quickly to contain the spread. Information obtained from statistical disease transmission models often informs the development of containment strategies. Inference procedures such as Bayesian...
Models, Statistical Swine Humans Iowa Swine Diseases Animals Deep Learning Disease Outbreaks Agriculture
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Personalized Saliency and Its Prediction.

IEEE transactions on pattern analysis and machine intelligence Aug 23, 2018
Nearly all existing visual saliency models by far have focused on predicting a universal saliency map across all observers. Yet psychology studies suggest that visual attention of different observers can vary significantly under specific circumstance...
Models, Statistical Attention Fixation, Ocular Young Adult Humans Adult Neural Networks, Computer Male Image Processing, Computer-Assisted Machine Learning Algorithms Female
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Predictive pollen-based biome modeling using machine learning.

PloS one Aug 23, 2018
This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets. We assign modern pollen samples from Africa and Arabia to five biome classes using a previously published Af...
Bayes Theorem Discriminant Analysis Supervised Machine Learning Climate Change Neural Networks, Computer Support Vector Machine Algorithms Models, Statistical Ecosystem Statistics, Nonparametric Decision Trees Africa Pollen Logistic Models Fossils
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Using person-specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones.

The International journal of eating disorders Aug 21, 2018
OBJECTIVE: Emotional eating has been linked to ovarian hormone functioning, but no studies to-date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions o...
Brain Mapping Eating Saliva Feeding Behavior Feeding and Eating Disorders Twins Menstrual Cycle Progesterone Magnetic Resonance Imaging Emotions Models, Statistical Adult Surveys and Questionnaires Humans Estradiol Neural Networks, Computer Brain Female
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An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2018
Trustworthiness is a comprehensive quality metric which is used to assess the quality of the services in service-oriented environments. However, trust prediction of cloud services based on the multi-faceted Quality of Service (QoS) attributes is a ch...
Humans Forecasting Neural Networks, Computer Computer Systems Algorithms Models, Statistical Cloud Computing
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Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Journal of biomedical informatics Aug 18, 2018
Gene ontology (GO) provides a representation of terms and categories used to describe genes and their molecular functions, cellular components and biological processes. GO has been the standard for describing the functions of specific genes in differ...
Decision Trees Databases, Protein Predictive Value of Tests Markov Chains Computational Biology Databases, Genetic Models, Statistical MEDLINE Molecular Sequence Annotation Gene Ontology Humans Algorithms Reproducibility of Results Animals
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KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.

Journal of proteome research Aug 13, 2018
Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, such as plasmid DNA, short interfering RNA, nanoparticles, and small peptides. The accurate identification of new and unique CPPs is the initial step to ...
Benchmarking Amino Acid Sequence Datasets as Topic Cell Membrane Permeability Models, Statistical Amino Acids Internet Humans Cell-Penetrating Peptides Neural Networks, Computer Sequence Analysis, Protein Machine Learning Eukaryotic Cells Software Animals
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Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.

Cancer research and treatment Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
Machine Learning Algorithms Precision Medicine Reproducibility of Results Taxoids Bridged-Ring Compounds ROC Curve Databases, Genetic Models, Statistical Drug Resistance, Neoplasm Antineoplastic Agents Gene Expression Profiling Pharmacogenetics
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Novel deep generative simultaneous recurrent model for efficient representation learning.

Neural networks : the official journal of the International Neural Network Society Aug 9, 2018
Representation learning plays an important role for building effective deep neural network models. Deep generative probabilistic models have shown to be efficient in the data representation learning task which is usually carried out in an unsupervise...
Neural Networks, Computer Algorithms Cognition Models, Statistical Neurons
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