Logical-mathematical "ND" software development

Authors

DOI:

https://doi.org/10.1590/S0104-11692004000100013

Keywords:

medical informatics, nursing diagnosis, classification

Abstract

In this article, we propose a mathematical analysis model for the generation of a proportional value of defining characteristics in nursing diagnoses. The study results are based on the logical-mathematical development of software specifically built for the generation of diagnosis hypotheses. The final calculation creates the sum of all defining characteristics found in each diagnosis, comparing it with the value of the V variable of the diagnosis, according to a mathematical rule that was set. It is concluded that the software needs to go through clinical validation in order to evaluate the pertinence of the rule proposed here.

Downloads

Download data is not yet available.

References

Downloads

Published

2004-02-01

Issue

Vol. 12 No. 1 (2004)

Section

Original Articles

License

RLAE’s authorship concept is based on the substantial contribution by each of the individuals listed as authors, mainly in terms of conceiving and planning the research project, collecting or analyzing and interpreting data, writing and critical review. Indication of authors’ names under the article title is limited to six. If more, authors are listed on the online submission form under Acknowledgements. The possibility of including more than six authors will only be examined on multicenter studies, considering the explanations presented by the authors.
Including names of authors whose contribution does not fit into the above criteria cannot be justified. Those names can be included in the Acknowledgements section.
 Authors are fully responsible for the concepts disseminated in their manuscripts, which do not necessarily reflect the editors’ and editorial board’s opinion.

 

How to Cite

Lopes, M. V. de O., Silva, V. M. da, & Araújo, T. L. de. (2004). Logical-mathematical "ND" software development. Revista Latino-Americana De Enfermagem, 12(1), 92-100. https://doi.org/10.1590/S0104-11692004000100013