AIMC Topic: Terminology as Topic

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A Knowledge-Based System for Display and Prediction of O-Glycosylation Network Behaviour in Response to Enzyme Knockouts.

PLoS computational biology Apr 7, 2016
O-linked glycosylation is an important post-translational modification of mucin-type protein, changes to which are important biomarkers of cancer. For this study of the enzymes of O-glycosylation, we developed a shorthand notation for representing Ga...
Protein Processing, Post-Translational CHO Cells Cricetulus Metabolic Networks and Pathways Animals Computational Biology Glycosylation Terminology as Topic Gene Knockout Techniques Glycosyltransferases Humans Genetic Engineering Models, Biological Computer Simulation Polysaccharides Knowledge Bases Mucins
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Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT.

Journal of biomedical semantics Feb 9, 2016
BACKGROUND: Identifying partial mappings between two terminologies is of special importance when one terminology is finer-grained than the other, as is the case for the Human Phenotype Ontology (HPO), mainly used for research purposes, and SNOMED CT,...
Phenotype Delivery of Health Care Systematized Nomenclature of Medicine Terminology as Topic Gene Ontology Humans
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Adapting content-based image retrieval techniques for the semantic annotation of medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 4, 2016
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications i...
Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Semantics Pattern Recognition, Automated Terminology as Topic Radiology Information Systems Radiographic Image Enhancement Natural Language Processing Database Management Systems Radiographic Image Interpretation, Computer-Assisted Data Mining Documentation Sensitivity and Specificity Imaging, Three-Dimensional Liver
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ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition.

BioMed research international Jan 28, 2016
Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This ...
Data Mining Chemical Phenomena Terminology as Topic Algorithms Support Vector Machine Natural Language Processing Machine Learning Software
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Classification of clinically useful sentences in clinical evidence resources.

Journal of biomedical informatics Jan 13, 2016
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.
Bayes Theorem Supervised Machine Learning Information Storage and Retrieval Semantics Language Decision Support Systems, Clinical Natural Language Processing MEDLINE Terminology as Topic Unified Medical Language System Humans Algorithms
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A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Clinical Named Entity Recognition (NER) is a critical task for extracting important patient information from clinical text to support clinical and translational research. This study explored the neural word embeddings derived from a large unlabeled c...
Pattern Recognition, Automated Humans Terminology as Topic Algorithms Data Curation Natural Language Processing Semantics
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Journal of biomedical informatics Oct 24, 2015
Natural Language Processing Information Storage and Retrieval Pattern Recognition, Automated Terminology as Topic Medical Record Linkage Vocabulary, Controlled Machine Learning Electronic Health Records Biomedical Research Narration
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Building integrated ontological knowledge structures with efficient approximation algorithms.

BioMed research international Oct 13, 2015
The integration of ontologies builds knowledge structures which brings new understanding on existing terminologies and their associations. With the steady increase in the number of ontologies, automatic integration of ontologies is preferable over ma...
Terminology as Topic Natural Language Processing Machine Learning Systems Integration Information Storage and Retrieval Algorithms Database Management Systems Biological Ontologies Databases, Factual Pattern Recognition, Automated
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Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.

Journal of biomedical informatics Sep 12, 2015
The second track of the 2014 i2b2 challenge asked participants to automatically identify risk factors for heart disease among diabetic patients using natural language processing techniques for clinical notes. This paper describes a rule-based system ...
Natural Language Processing Coronary Artery Disease Confidentiality Data Mining Pattern Recognition, Automated Terminology as Topic Unified Medical Language System Electronic Health Records Computer Security Female Incidence Aged Cohort Studies Humans Male Longitudinal Studies Narration Middle Aged Vocabulary, Controlled Risk Assessment Diabetes Complications Comorbidity Ohio
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MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices.

International journal of medical informatics Aug 17, 2015
OBJECTIVE: The increasing use of health self-tracking devices is making the integration of heterogeneous data and shared decision-making more challenging. Computational analysis of lifelog data has been hampered by the lack of semantic and syntactic ...
Electronic Health Records Republic of Korea Self Care Information Storage and Retrieval Biological Ontologies Terminology as Topic Medical Records
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