AIMC Topic: Terminology as Topic

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Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition.

Computers in biology and medicine Apr 7, 2019
BACKGROUND: Disease named entity recognition (NER) plays an important role in biomedical research. There are a significant number of challenging issues to be addressed; among these, the identification of rare diseases and complex disease names and th...
Data Mining Terminology as Topic Disease Humans Language Deep Learning
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[An online dynamic knowledge base in multiple languages on general medicine and primary care].

The Pan African medical journal Feb 5, 2019
INTRODUCTION: The International Classification of Primary Care, Second version (ICPC-2) aligned with the 10th Revision of the International Classification of Disease (ICD-10) is a standard for primary care epidemiology compendium. ICPC-2 has been als...
Humans Language Reproducibility of Results Primary Health Care Internet Knowledge Bases Terminology as Topic International Classification of Diseases Physicians, Family General Practitioners General Practice Physician's Role
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miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.

BMC bioinformatics Dec 31, 2018
BACKGROUND: miRBase is the primary repository for published miRNA sequence and annotation data, and serves as the "go-to" place for miRNA research. However, the definition and annotation of miRNAs have been changed significantly across different vers...
Computational Biology MicroRNAs Terminology as Topic Algorithms Animals Molecular Sequence Annotation Gene Ontology Databases, Nucleic Acid Humans Software
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EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.

BMC medical informatics and decision making Dec 12, 2018
BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate exploratory analysis and predictive ...
Humans Machine Learning Phenotype Terminology as Topic Electronic Health Records Vocabulary Natural Language Processing Clinical Coding
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The Sublanguage of Clinical Problem Lists: A Corpus Analysis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
.Summary-level clinical text is an important part of the overall clinical record as it provides a condensed and efficient view into the issues pertinent to the patient, or their "problem list." These problem lists contain a wealth of information pert...
Unified Medical Language System Medical Records, Problem-Oriented Semantics Humans Systematized Nomenclature of Medicine Natural Language Processing Terminology as Topic
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Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in electronic health records (EHRs) can contribute significantly to the effort to monitor the condition. Word embedding algorithms such as Word2Vec can enco...
Information Storage and Retrieval Humans Semantics Machine Learning Terminology as Topic Electronic Health Records Algorithms Natural Language Processing Autism Spectrum Disorder
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An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Digital rectal examination (DRE) is considered a quality metric for prostate cancer care. However, much of the DRE related rich information is documented as free-text in clinical narratives. Therefore, we aimed to develop a natural language processin...
Semantics Terminology as Topic Digital Rectal Examination Prostatic Neoplasms Documentation Male Narration Natural Language Processing Humans Algorithms Electronic Health Records
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What does a pain 'biomarker' mean and can a machine be taught to measure pain?

Neuroscience letters Nov 29, 2018
Artificial intelligence allows machines to predict human faculties such as image and voice recognition. Can machines be taught to measure pain? We argue that the two fundamental requirements for a device with 'pain biomarker' capabilities are hardwar...
Pain Terminology as Topic Machine Learning Biomarkers Pain Measurement Electroencephalography
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Artificial intelligence and medical imaging 2018: French Radiology Community white paper.

Diagnostic and interventional imaging Nov 22, 2018
The rapid development of information technology and data processing capabilities has led to the creation of new tools known as artificial intelligence (AI). Medical applications of AI are emerging, and the French radiology community felt it was there...
Research Diagnostic Imaging Radiology Terminology as Topic Humans Artificial Intelligence Forecasting
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From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.

Journal of biomedical informatics Jun 14, 2018
Ontologies and terminologies have been identified as key resources for the achievement of semantic interoperability in biomedical domains. The development of ontologies is performed as a joint work by domain experts and knowledge engineers. The maint...
Software Algorithms Language Reproducibility of Results Computational Biology Cluster Analysis Pattern Recognition, Automated Medical Informatics Terminology as Topic Systematized Nomenclature of Medicine Natural Language Processing Biological Ontologies Quality Control Programming Languages
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