AIMC Topic: Models, Theoretical

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Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.

BMC medical informatics and decision making Jul 19, 2017
BACKGROUND: Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As such, cohorts of MCI patient...
Dementia Time Factors Supervised Machine Learning Neuropsychological Tests Models, Theoretical Prognosis Disease Progression Cognitive Dysfunction Humans
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Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2017
The interaction of social networks with the external environment gives rise to non-stationary activity patterns reflecting the temporal structure and strength of exogenous influences that drive social dynamical processes far from an equilibrium state...
Community Networks Humans Models, Theoretical Social Networking Neural Networks, Computer
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Reproducibility of Results Young Adult Adult Humans Female Depressive Disorder, Major Surveys and Questionnaires Logistic Models Male Middle Aged Sensitivity and Specificity Models, Theoretical Bayes Theorem Electroencephalography Support Vector Machine
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Nonlinear autoregressive neural networks with external inputs for forecasting of typhoon inundation level.

Environmental monitoring and assessment Jul 5, 2017
Accurate inundation level forecasting during typhoon invasion is crucial for organizing response actions such as the evacuation of people from areas that could potentially flood. This paper explores the ability of nonlinear autoregressive neural netw...
Environmental Monitoring Cyclonic Storms Forecasting Models, Theoretical Neural Networks, Computer
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Detecting clinically relevant new information in clinical notes across specialties and settings.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and clinical research, respectively....
Electronic Health Records Models, Theoretical Humans Natural Language Processing Medical Informatics
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Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec.

BMC medical informatics and decision making Jul 3, 2017
BACKGROUND: Understanding semantic relatedness and similarity between biomedical terms has a great impact on a variety of applications such as biomedical information retrieval, information extraction, and recommender systems. The objective of this st...
Humans PubMed Information Storage and Retrieval Semantics Models, Theoretical Biomedical Research Natural Language Processing
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Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

PloS one Jul 3, 2017
To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving...
Vehicle Emissions Models, Theoretical Electricity Motor Vehicles Probability Machine Learning Conservation of Energy Resources Algorithms
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Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience Jun 29, 2017
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
Social Behavior Computer Simulation Nonlinear Dynamics Male Decision Making Synapses Humans Models, Theoretical Neurons Animals Models, Neurological Neural Networks, Computer Nerve Net
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Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.

Scientific reports Jun 23, 2017
Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcino...
Deep Learning Models, Theoretical Databases as Topic Neural Networks, Computer Female Breast Neoplasms Humans
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Differentiating Thamnocalamus Munro from Fargesia Franchet emend. Yi (Bambusoideae, Poaceae): novel evidence from morphological and neural-network analyses.

Scientific reports Jun 23, 2017
Fargesia Franchet emend. Yi is closely allied with Thamnocalamus Munro but differs in many major morphological characteristics. Based on traditional morphological characters, it is difficult to differentiate these two genera. The current study measur...
Inflorescence Neural Networks, Computer Ecotype Phylogeny Principal Component Analysis Poaceae Models, Theoretical Geography Cluster Analysis
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