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A visual analytics approach for pattern-recognition in patient-generated data.

08:00 EDT 13th June 2018 | BioPortfolio

Summary of "A visual analytics approach for pattern-recognition in patient-generated data."

To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload.

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Journal Details

This article was published in the following journal.

Name: Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Pages:

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Medical and Biotech [MESH] Definitions

The analysis of a critical number of sensory stimuli or facts (the pattern) by physiological processes such as vision (PATTERN RECOGNITION, VISUAL), touch, or hearing.

Health-related data created, recorded, or gathered by patients, family members, or caregivers, to help address a health concern. Distinct from data generated in clinical settings and through encounters with providers.

Mental process to visually perceive a critical number of facts (the pattern), such as characters, shapes, displays, or designs.

The visual display of data in a man-machine system. An example is when data is called from the computer and transmitted to a CATHODE RAY TUBE DISPLAY or LIQUID CRYSTAL display.

Pathogens' molecules with specific sequence patterns that are recognized by PATTERN RECOGNITION RECEPTORS. They include microbial DNA, double-stranded RNA, surface glycoproteins, lipopolysaccharides, peptidoglycans, and lipoteichoic acid.

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