Humans

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Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 4, 2018
The emergence of deep learning has impacted numerous machine learning based applications and research. The reason for its success lies in two main advantages: 1) it provides the ability to learn very complex non-linear relationships between features ...
Gene Expression Profiling Transcriptome Diagnosis, Computer-Assisted Deep Learning Genomics Computational Biology Models, Statistical Neural Networks, Computer Software Algorithms Neoplasms Humans Gene Expression Regulation Area Under Curve Linear Models Pattern Recognition, Automated
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Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two?

NeuroImage Apr 4, 2018
Modeling and interpreting (partial) synchronous neural activity can be a challenge. We illustrate this by deriving the phase dynamics of two seminal neural mass models: the Wilson-Cowan firing rate model and the voltage-based Freeman model. We establ...
Models, Neurological Nerve Net Brain Animals Models, Theoretical Humans Neural Networks, Computer
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Deformable Image Registration Using a Cue-Aware Deep Regression Network.

IEEE transactions on bio-medical engineering Apr 4, 2018
SIGNIFICANCE: Analysis of modern large-scale, multicenter or diseased data requires deformable registration algorithms that can cope with data of diverse nature.
Brain Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Algorithms Deep Learning Nonlinear Dynamics Databases, Factual Imaging, Three-Dimensional
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Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Journal of biomedical informatics Apr 4, 2018
Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affected by deadly diseases such as coronary heart disease (CHD). CHD risk assessment is a stochastic, u...
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Bayes Theorem Coronary Disease Uncertainty Clinical Decision-Making Female Risk Factors Humans Male Computer Simulation Risk Assessment Diagnosis, Computer-Assisted Fuzzy Logic
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Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.

Dementia and geriatric cognitive disorders Apr 4, 2018
BACKGROUND: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer's dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementi...
Mental Recall Verbal Behavior Aged Aged, 80 and over Cross-Sectional Studies Humans Middle Aged Machine Learning Support Vector Machine Male Neural Networks, Computer Thailand Alzheimer Disease Female Cognitive Dysfunction Neuropsychological Tests Reproducibility of Results Socioeconomic Factors Translations
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Word embeddings quantify 100 years of gender and ethnic stereotypes.

Proceedings of the National Academy of Sciences of the United States of America Apr 3, 2018
Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we de...
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Social Change Occupations Racism Sexism Male Religion Stereotyping United States Newspapers as Topic Humans Internet Ethnicity Minority Groups Machine Learning Language History, 21st Century Female Culture History, 20th Century
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MTGO: PPI Network Analysis Via Topological and Functional Module Identification.

Scientific reports Apr 3, 2018
Protein-protein interaction (PPI) networks are viable tools to understand cell functions, disease machinery, and drug design/repositioning. Interpreting a PPI, however, it is a particularly challenging task because of network complexity. Several algo...
Humans Algorithms Myocardial Infarction Gene Ontology Protein Interaction Mapping
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Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.

Scientific reports Apr 3, 2018
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ECT can induce neurogenesis and synaptogenesis in hippocampus, which contains distinct subfields, e.g., the cornu ammonis (CA) subfields, a g...
Adult Male Depressive Disorder, Major Treatment Outcome Humans Machine Learning Female Organ Size Hippocampus Electroconvulsive Therapy
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Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans.

International journal of environmental research and public health Apr 3, 2018
Hesitant fuzzy linguistic term set provides an effective tool to represent uncertain decision information. However, the semantics corresponding to the linguistic terms in it cannot accurately reflect the decision-makers' subjective cognition. In gene...
(2)
Decision Making Fires Linguistics Uncertainty Humans Algorithms Reproducibility of Results Fuzzy Logic
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Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine.

Journal of healthcare engineering Apr 3, 2018
Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis of diseases more accurately. Automatic medical image segmentation is difficult due to the varying image quality among equipment. In this paper, the au...
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Middle Aged Lung Adolescent Aged Humans Support Vector Machine Young Adult Tomography, X-Ray Computed Pneumothorax Adult Female Male
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