AIMC Topic: Semantics

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Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies.

Scientific reports Mar 11, 2019
Data are increasingly annotated with multiple ontologies to capture rich information about the features of the subject under investigation. Analysis may be performed over each ontology separately, but recently there has been a move to combine multipl...
Male Aging Data Science Female Animals Databases as Topic Semantics Biological Ontologies Mice Datasets as Topic Algorithms
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IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching.

Computational intelligence and neuroscience Mar 3, 2019
We propose a novel end-to-end approach, namely, the semantic-containing double-level embedding Bi-LSTM model (SCDE-Bi-LSTM), to solve the three key problems of Q&A matching in the Chinese medical field. In the similarity calculation of the Q&A core m...
Semantics Humans Neural Networks, Computer Machine Learning Asian People Language Algorithms Attention
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Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.

Journal of biomedical informatics Feb 23, 2019
We propose an efficient natural language processing approach for inferring the BI-RADS final assessment categories by analyzing only the mammogram findings reported by the mammographer in narrative form. The proposed hybrid method integrates semantic...
Mammography Natural Language Processing Radiographic Image Interpretation, Computer-Assisted Female Deep Learning Semantics Breast Data Mining Humans
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Unsupervised concept extraction from clinical text through semantic composition.

Journal of biomedical informatics Feb 10, 2019
Concept extraction is an important step in clinical natural language processing. Once extracted, the use of concepts can improve the accuracy and generalization of downstream systems. We present a new unsupervised system for the extraction of concept...
Unsupervised Machine Learning Semantics Unified Medical Language System
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Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm.

Computer methods and programs in biomedicine Feb 1, 2019
BACKGROUND AND OBJECTIVE: Healthcare tweets are particularly challenging due to its sparse layout and its limited character size. Compared to previous method based on "bag of words" (BOW) model, this study uniquely identifies the enrichment protocol ...
Social Media Datasets as Topic Semantics Information Storage and Retrieval Delivery of Health Care Machine Learning Models, Theoretical Algorithms Support Vector Machine
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Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks.

BMC bioinformatics Feb 1, 2019
BACKGROUND: Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks. The adven...
Natural Language Processing Semantics Dictionaries as Topic Vocabulary Neural Networks, Computer Humans Electronic Health Records Language
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A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.

International journal of computer assisted radiology and surgery Jan 16, 2019
PURPOSE: Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer- and robot-aided interventions. Recent methods based on deep convolutional neural networks (CNN)...
Image Processing, Computer-Assisted Semantics Laryngoscopy Larynx Vocal Cords Neural Networks, Computer Machine Learning Endoscopy Humans
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Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering.

Database : the journal of biological databases and curation Jan 1, 2019
Information about the interactions between chemical compounds and proteins is indispensable for understanding the regulation of biological processes and the development of therapeutic drugs. Manually extracting such information from biomedical litera...
Databases, Protein Pharmaceutical Preparations Software Humans Semantics Data Mining Computational Biology Machine Learning Databases, Chemical Proteins
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Quantitative analysis of manual annotation of clinical text samples.

International journal of medical informatics Dec 31, 2018
BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the main topic in several research projects. It is a key consideration for the European Commission to overcome the complexity of making different health in...
Systematized Nomenclature of Medicine Unified Medical Language System Natural Language Processing Humans Medical Informatics Europe Semantics
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Biomedical semantic indexing by deep neural network with multi-task learning.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Biomedical semantic indexing is important for information retrieval and many other research fields in bioinformatics. It annotates biomedical citations with Medical Subject Headings. In face of unbalanced category distribution in the trai...
Abstracting and Indexing Deep Learning Semantics Neural Networks, Computer Algorithms Humans
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