Transformation of the Davenport Diagram to a Computerized Artificial Neural Network

Volume 2, Issue 1, February 2018     |     PP. 1-7      |     PDF (195 K)    |     Pub. Date: April 1, 2018
DOI:    320 Downloads     7775 Views  

Author(s)

Timothy J Smith, RPh, PhD, Department of Physiology and Pharmacology, Thomas J Long School of Pharmacy and Health Sciences, University of the Pacific, Stockton, California 95211

Abstract
The Davenport diagram, which illustrates the interactions of pH, bicarbonate and pCO2 as related to respiratory/metabolic phases of acidosis/alkalosis was transformed into a computerized neural network. This transformation enables computer-assisted prediction of acidosis/alkalosis subtypes on the basis of any two factors from pH, bicarbonate and pCO2. Furthermore, this neural network can eventually be trained to predict changes in acid-base balance on the basis of additional factors; illustrating the utility of neural network analysis as a dynamic predictive tool in healthcare.

Keywords
Davenport diagram, neural network, nomogram, acidosis, alkalosis

Cite this paper
Timothy J Smith, RPh, PhD, Transformation of the Davenport Diagram to a Computerized Artificial Neural Network , SCIREA Journal of Medicine. Volume 2, Issue 1, February 2018 | PP. 1-7.

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