AIMC Topic: Terminology as Topic

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Differentiating Sense through Semantic Interaction Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Words which have different representations but are semantically related, such as dementia and delirium, can pose difficult issues in understanding text. We explore the use of interaction frequency data between semantic elements as a means to differen...
Terminology as Topic Cluster Analysis Humans Natural Language Processing Software Semantics Algorithms
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Understanding patient satisfaction with received healthcare services: A natural language processing approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Important information is encoded in free-text patient comments. We determine the most common topics in patient comments, design automatic topic classifiers, identify comments ' sentiment, and find new topics in negative comments. Our annotation schem...
Terminology as Topic Outcome and Process Assessment, Health Care Humans Delivery of Health Care Natural Language Processing Bayes Theorem Patient Satisfaction
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Artificial intelligence in medicine.

Metabolism: clinical and experimental Jan 11, 2017
Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI is generally accepted as having started with the invention of robots. The term derives from the Czech ...
Robotics History, 21st Century Terminology as Topic Precision Medicine History, 20th Century Humans Electronic Health Records Interdisciplinary Communication Artificial Intelligence Drug Delivery Systems Decision Making, Computer-Assisted
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Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources.

Journal of biomedical semantics Jan 10, 2017
BACKGROUND: Drug ontologies could help pharmaceutical researchers overcome information overload and speed the pace of drug discovery, thus benefiting the industry and patients alike. Drug-disease relations, specifically drug-indication relations, are...
Biological Ontologies Terminology as Topic Databases, Pharmaceutical
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An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs.

Journal of medical systems Jan 3, 2017
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would be able to collaborate with others, undertake validation of NLP systems, components, and related resources, and disseminate them. We captured requireme...
Humans Electronic Health Records Reproducibility of Results Communication Interviews as Topic United States United States Department of Veterans Affairs Cooperative Behavior Natural Language Processing Terminology as Topic
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Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Annals of the New York Academy of Sciences Dec 5, 2016
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...
Software Design Biological Ontologies Brain-Computer Interfaces Terminology as Topic Internet Cloud Computing Data Mining Programming Languages Humans Software Reproducibility of Results Computational Biology
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The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.

PloS one Oct 27, 2016
Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about ...
Humans Pregnancy Female Pre-Eclampsia Biological Ontologies Terminology as Topic
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Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks.

Database : the journal of biological databases and curation Oct 24, 2016
The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of d...
Models, Theoretical Support Vector Machine Humans Natural Language Processing Neural Networks, Computer Disease Animals Data Mining Terminology as Topic
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Introducing the Big Knowledge to Use (BK2U) challenge.

Annals of the New York Academy of Sciences Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Humans Translational Research, Biomedical Knowledge Bases Data Mining Image Interpretation, Computer-Assisted Systematized Nomenclature of Medicine Terminology as Topic Models, Neurological Pharmaceutical Preparations Drug Interactions Animals Image Processing, Computer-Assisted Computational Biology Intracranial Hemorrhages Decision Making, Computer-Assisted
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Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.

Computational intelligence and neuroscience Oct 3, 2016
We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obt...
Terminology as Topic Vocabulary Concept Formation Data Mining Sex Factors Semantics Neural Networks, Computer Time Factors Authorship Age Factors Language Social Media Humans Male Middle Aged Adolescent Female Young Adult Adult
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