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

James A. Rodger ()
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James A. Rodger: Indiana University of Pennsylvania

A chapter in Information Systems and Neuroscience, 2015, pp 1-8 from Springer

Abstract: 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

Keywords: Decision support; Traumatic brain injuries; Neuro-IS; Apache Hive-Informatics (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-18702-0_1

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DOI: 10.1007/978-3-319-18702-0_1

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