Selected article for: "accuracy veracity and acquisition speed velocity"

Author: Lindsay Meyers; Christine C. Ginocchio; Aimie N. Faucett; Frederick S. Nolte; Per H. Gesteland; Amy Leber; Diane Janowiak; Virginia Donovan; Jennifer Dien Bard; Silvia Spitzer; Kathleen A. Stellrecht; Hossein Salimnia; Rangaraj Selvarangan; Stefan Juretschko; Judy A. Daly; Jeremy C. Wallentine; Kristy Lindsey; Franklin Moore; Sharon L. Reed; Maria Aguero-Rosenfeld; Paul D. Fey; Gregory A. Storch; Steve J. Melnick; Christine C. Robinson; Jennifer F. Meredith; Camille V. Cook; Robert K. Nelson; Jay D. Jones; Samuel V. Scarpino; Benjamin M. Althouse; Kirk M. Ririe; Bradley A. Malin; Mark A. Poritz
Title: Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies
  • Document date: 2017_7_31
  • ID: iisqysqm_19
    Snippet: This article describes "FilmArray Trend", a new system for real-time reporting of widespread pathogen-specific syndromic data. This system already has many of the important properties of big data. We consider Trend in terms of the "V"s that are often used to describe big data: volume (amount), velocity (speed of acquisition), veracity (accuracy), variety (diversity of information) 315 and value (utility) [57, 62] ......
    Document: This article describes "FilmArray Trend", a new system for real-time reporting of widespread pathogen-specific syndromic data. This system already has many of the important properties of big data. We consider Trend in terms of the "V"s that are often used to describe big data: volume (amount), velocity (speed of acquisition), veracity (accuracy), variety (diversity of information) 315 and value (utility) [57, 62] .

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