Volume 2, Number 1 (2018)
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Home > Journals > SCIREA Journal of Medicine > Archive > Paper Information

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
122 Downloads     1823 Views  

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

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.

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. Vol. 2 , No. 1 , 2018 , pp. 1 - 7 .


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