Download Data Integration in the Life Sciences: 11th International by Naveen Ashish, Jose-Luis Ambite PDF

By Naveen Ashish, Jose-Luis Ambite

This publication constitutes the lawsuits of the eleventh overseas convention on info Integration within the lifestyles Sciences, DILS 2015, held in la, CA, united states, in July 2015.

The 24 papers offered during this quantity have been rigorously reviewed and chosen from forty submissions. they're equipped in topical sections named: facts integration applied sciences; ontology and information engineering for information integration; biomedical information criteria and coding; scientific study purposes; and graduate pupil consortium.

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Read or Download Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings PDF

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Additional resources for Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings

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Certain elements have a strict fixed range, by definition, in any dataset. For instance the MMSE score element by definition takes values 0–30 (only). On the other hand an element for heart rate may have a range specified as 35–140 in one dataset and 30–150 in another, both being “reasonable” range bounds for the values. We employ a range match score (RMS) that is defined as follows: This RMS score is measure of the overlap of the range of values across two elements. Candidates with an RMS score below a certain threshold are eliminated.

5T and 3T scanners, including Sternberg Item Recognition Paradigm (SIRP) and Auditory Oddball paradigms, breath-hold and sensorimotor tasks. The data is stored in the HID system [5], which is powered by a PostgresSQL relational database located at the Univesity of California, Irvine. The SchizConnect mediator accesses HID using standard JDBC. org/REST/projects/NUDataSharing [7]. 5T Vision scanner. L. Ambite et al. at Washington University at Saint Louis. The site is built over the eXtensible Neuroimaging Archiving Toolkit (XNAT), a popular framework for neuroimaging data [8].

Am. gr Abstract. The Medical Informatics Platform of the Human Brain Project has the challenging task of organizing and presenting to its users a variety of data originating from different hospitals and hospital systems in a unified way, while protecting patients privacy as imposed by national legislation and institutional ethics. In this paper we view these challenges under the scope of data integration and analyze preliminary steps taken towards realizing the Medical Informatics Platform. Keywords: Data integration 1 · Standardization · Medical data Introduction Understanding the brain is one of the greatest challenges facing 21st century science.

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