AIMC Topic:
Databases, Factual

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Fine-Grained Face Annotation Using Deep Multi-Task CNN.

Sensors (Basel, Switzerland) Aug 14, 2018
We present a multi-task learning-based convolutional neural network (MTL-CNN) able to estimate multiple tags describing face images simultaneously. In total, the model is able to estimate up to 74 different face attributes belonging to three distinct...
Neural Networks, Computer Deep Learning Databases, Factual Face
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Adaptive non-negative projective semi-supervised learning for inductive classification.

Neural networks : the official journal of the International Neural Network Society Aug 11, 2018
We discuss the inductive classification problem by proposing a joint framework termed Adaptive Non-negative Projective Semi-Supervised Learning (ANP-SSL). Specifically, ANP-SSL integrates the adaptive inductive label propagation, adaptive reconstruct...
Algorithms Databases, Factual Supervised Machine Learning Photic Stimulation Pattern Recognition, Visual Humans
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Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

NeuroImage. Clinical Aug 11, 2018
BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that the...
Photic Stimulation Magnetic Resonance Imaging Predictive Value of Tests Databases, Factual Humans Brain Psychomotor Performance Emotions Machine Learning Treatment Outcome Antidepressive Agents
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Skin lesion classification with ensembles of deep convolutional neural networks.

Journal of biomedical informatics Aug 10, 2018
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over 9000 deaths in the United States each year. Thus, reliable automatic mel...
Keratosis, Seborrheic Melanocytes ROC Curve Image Processing, Computer-Assisted Nevus Dermoscopy Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Humans Databases, Factual Melanoma Skin Neoplasms
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A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.

Journal of Korean medical science Aug 8, 2018
BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system.
Machine Learning Databases, Factual Republic of Korea Fundus Oculi Humans Retina
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Trie-based rule processing for clinical NLP: A use-case study of n-trie, making the ConText algorithm more efficient and scalable.

Journal of biomedical informatics Aug 6, 2018
OBJECTIVE: To develop and evaluate an efficient Trie structure for large-scale, rule-based clinical natural language processing (NLP), which we call n-trie.
Computational Biology Humans Natural Language Processing Machine Learning Algorithms Databases, Factual
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Mining heterogeneous networks with topological features constructed from patient-contributed content for pharmacovigilance.

Artificial intelligence in medicine Aug 6, 2018
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. Adverse drug reactions (ADRs) and drug-drug interactions (DDIs) are two important issues in pharmacovigilance, and how to detect drug safety signals h...
Humans Risk Assessment Drug Interactions Supervised Machine Learning Patient Safety Databases, Factual Risk Factors Online Social Networking Pharmacovigilance Adverse Drug Reaction Reporting Systems Health Information Exchange Drug-Related Side Effects and Adverse Reactions Data Mining
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Fuzzy c-means-based architecture reduction of a probabilistic neural network.

Neural networks : the official journal of the International Neural Network Society Aug 4, 2018
The efficiency of the probabilistic neural network (PNN) is very sensitive to the cardinality of a considered input data set. It results from the design of the network's pattern layer. In this layer, the neurons perform an activation on all input rec...
Databases, Factual Learning Fuzzy Logic Cluster Analysis Models, Statistical Humans Neural Networks, Computer Algorithms
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Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine.

Computers in biology and medicine Aug 4, 2018
Electrocardiogram (ECG) classification is an important process in identifying arrhythmia, and neural network models have been widely used in this field. However, these models are often disrupted by heartbeat noise and are negatively affected by skewe...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Electrocardiography Support Vector Machine Humans Neural Networks, Computer Databases, Factual
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Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method.

Mathematical biosciences Aug 4, 2018
LncRNAs plays an important role in the regulation of gene expression. Identification of cancer-related lncRNAs GO terms and KEGG pathways is great helpful for revealing cancer-related functional biological processes. Therefore, in this study, we prop...
Humans Databases, Factual Neoplasms Data Mining Gene Expression Regulation Gene Ontology Computational Biology Models, Genetic RNA, Long Noncoding
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