AIMC Topic: Semantics

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Measuring the diffusion of innovations with paragraph vector topic models.

PloS one Jan 22, 2020
Measuring the diffusion of innovations from textual data sources besides patent data has not been studied extensively. However, early and accurate indicators of innovation and the recognition of trends in innovation are mandatory to successfully prom...
Information Technology Semantics Comprehension Humans Machine Learning Review Literature as Topic Diffusion of Innovation Support Vector Machine
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Evolving knowledge graph similarity for supervised learning in complex biomedical domains.

BMC bioinformatics Jan 3, 2020
BACKGROUND: In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on ve...
Humans Algorithms Semantics Biological Ontologies Gene Ontology Knowledge Bases Data Mining Supervised Machine Learning
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More Agility to Semantic Similarities Algorithm Implementations.

International journal of environmental research and public health Dec 30, 2019
Algorithms for measuring semantic similarity between Gene Ontology (GO) terms has become a popular area of research in bioinformatics as it can help to detect functional associations between genes and potential impact to the health and well-being of ...
Algorithms Animals Computational Biology Semantics Humans Gene Ontology Software
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Humans Semantics Machine Learning Data Curation Language Phonetics Electronic Health Records Natural Language Processing
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Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: The medical community uses a variety of data standards for both clinical and research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such standard that provides robust data point definitions. Another standard is the ...
Humans Neural Networks, Computer Research Design Biomedical Research Algorithms Common Data Elements Neoplasms Semantics
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An Interactive Model of Target and Context for Aspect-Level Sentiment Classification.

Computational intelligence and neuroscience Dec 19, 2019
Aspect-level sentiment classification aims to identify the sentiment polarity of a review expressed toward a target. In recent years, neural network-based methods have achieved success in aspect-level sentiment classification, and these methods fall ...
Data Mining Consumer Behavior Machine Learning Computers Psycholinguistics Humans Semantics Emotions Restaurants Neural Networks, Computer
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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

BMC medical informatics and decision making Dec 12, 2019
BACKGROUND: The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several works dealing with the segmen...
Magnetic Resonance Spectroscopy Polycystic Kidney, Autosomal Dominant Tomography, X-Ray Computed Deep Learning Humans Magnetic Resonance Imaging Image Processing, Computer-Assisted Neural Networks, Computer Semantics
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Improving reference prioritisation with PICO recognition.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which inclu...
Systematic Reviews as Topic Information Dissemination Semantics Humans Machine Learning Databases, Genetic
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An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon...
Deep Learning China Natural Language Processing Electronic Health Records Language Semantics Data Mining Attention Humans Neural Networks, Computer
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Combining entity co-occurrence with specialized word embeddings to measure entity relation in Alzheimer's disease.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find meaningful relationships between entities au...
Humans Algorithms Alzheimer Disease Cluster Analysis Information Storage and Retrieval Semantics Natural Language Processing
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