We typically take a blood pressure within 3 minutes of a patient rising from a supine to a standing position. But is that too long?
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PURL: Best timing for measuring orthostatic vital signs?
J Fam Pract
November 2019
Madigan Army Medical Center, Gig Harbor, WA, USA.
We typically take a blood pressure within 3 minutes of a patient rising from a supine to a standing position. But is that too long?
View Article and Find Full Text PDFThe Orthology Ontology: development and applications.
J Biomed Semantics
June 2016
National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, 444-8585, Aichi, Japan.
Background: Computational comparative analysis of multiple genomes provides valuable opportunities to biomedical research. In particular, orthology analysis can play a central role in comparative genomics; it guides establishing evolutionary relations among genes of organisms and allows functional inference of gene products. However, the wide variations in current orthology databases necessitate the research toward the shareability of the content that is generated by different tools and stored in different structures.
View Article and Find Full Text PDFFrom frames to OWL2: Converting the Foundational Model of Anatomy.
Artif Intell Med
May 2016
Biological Structure, University of Washington Structural Informatics Group, 1959 NE Pacific Street, Box 357420, Seattle, Washington 98195, USA; Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA; Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington 98195, USA.
Objective: The Foundational Model of Anatomy (FMA) [Rosse C, Mejino JLV. A reference ontology for bioinformatics: the Foundational Model of Anatomy. J.
View Article and Find Full Text PDFGeneration of silver standard concept annotations from biomedical texts with special relevance to phenotypes.
PLoS One
January 2016
School of ITEE, The University of Queensland, St. Lucia, QLD 4072, Australia; Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia.
Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES), the National Center for Biomedical Ontology (NCBO) Annotator, the Biomedical Concept Annotation System (BeCAS) and MetaMap. Each of the four concept recognition systems is applied to four different corpora: the i2b2 corpus of clinical documents, a PubMed corpus of Medline abstracts, a clinical trails corpus and the ShARe/CLEF corpus.
View Article and Find Full Text PDFCODOC: efficient access, analysis and compression of depth of coverage signals.
Bioinformatics
September 2014
Center for Integrative Bioinformatics Vienna (CIBIV), Max F Perutz Laboratories, University of Vienna and Medical University of Vienna, Dr. Bohrgasse 9, 1030 Vienna, Austria.
Unlabelled: Current data formats for the representation of depth of coverage data (DOC), a central resource for interpreting, filtering or detecting novel features in high-throughput sequencing datasets, were primarily designed for visualization purposes. This limits their applicability in stand-alone analyses of these data, mainly owing to inaccurate representation or mediocre data compression. CODOC is a novel data format and comprehensive application programming interface for efficient representation, access and analysis of DOC data.
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