AIMC Topic: Unified Medical Language System

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Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.

Computer methods and programs in biomedicine Oct 4, 2019
BACKGROUND AND OBJECTIVE: Capturing the context of text is a challenging task in biomedical text summarization. The objective of this research is to show how contextualized embeddings produced by a deep bidirectional language model can be utilized to...
Humans Algorithms Medical Informatics Semantics Deep Learning Unified Medical Language System Natural Language Processing Data Mining
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Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

International journal of environmental research and public health Sep 27, 2019
Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing disease, drugs, and symptoms for biosurveillance, extracting their related properties and activities, and identifying adverse drug events appearing in texts...
Humans Unified Medical Language System Neural Networks, Computer Algorithms Information Storage and Retrieval Social Media Biological Ontologies
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An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Software Algorithms Reproducibility of Results Humans Natural Language Processing Data Collection Education, Medical Clinical Competence Educational Measurement Fuzzy Logic Schools, Medical Medical Records Data Curation Licensure, Medical Pattern Recognition, Automated Unified Medical Language System
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Concept embedding to measure semantic relatedness for biomedical information ontologies.

Journal of biomedical informatics Apr 19, 2019
There have been many attempts to identify relationships among concepts corresponding to terms from biomedical information ontologies such as the Unified Medical Language System (UMLS). In particular, vector representation of such concepts using infor...
Unified Medical Language System Semantics Biological Ontologies Humans Natural Language Processing
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Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies hav...
Clinical Coding Deep Learning Obesity Natural Language Processing Knowledge Bases Unified Medical Language System Humans Neural Networks, Computer
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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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An efficient prototype method to identify and correct misspellings in clinical text.

BMC research notes Jan 18, 2019
OBJECTIVE: Misspellings in clinical free text present challenges to natural language processing. With an objective to identify misspellings and their corrections, we developed a prototype spelling analysis method that implements Word2Vec, Levenshtein...
Algorithms Language Reproducibility of Results Pathology, Surgical Natural Language Processing Research Report Humans Medical Records Systems, Computerized Medical Informatics Vocabulary, Controlled Unified Medical Language System Dictionaries as Topic
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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 Humans Unified Medical Language System Natural Language Processing Europe Medical Informatics Semantics
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Using natural language processing and machine learning to identify breast cancer local recurrence.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cance...
Breast Neoplasms Humans Female Natural Language Processing Cohort Studies Machine Learning Reproducibility of Results Neoplasm Recurrence, Local Support Vector Machine Electronic Health Records Unified Medical Language System
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Fast and scalable neural embedding models for biomedical sentence classification.

BMC bioinformatics Dec 22, 2018
BACKGROUND: Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse sem...
PubMed Unified Medical Language System Humans Biomedical Research Neural Networks, Computer Natural Language Processing Language
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