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NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study

In: Information Systems and Neuroscience

Author

Listed:
  • James A. Rodger

    (Indiana University of Pennsylvania)

Abstract

The study of Neuro-IS often contains huge amounts of data. While the outcomes of this process are well documented, little has been written about the collection and dissemination of this data. In order to fill this gap, we looked at hospital ships which provide a medical asset in support of military operations. We collected data on three ship variables and four physiological body region injuries (head, torso, extremities and abrasions). We ran an exploratory regression analysis and found a significant relationship may exist (p

Suggested Citation

  • James A. Rodger, 2015. "NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, edition 127, pages 1-8, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_1
    DOI: 10.1007/978-3-319-18702-0_1
    as

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