Database Extract Information Using Genetic Algorithm and Sending Message in HL7 Formatted Using Back Propagation
Keywords:
medical informatics, cloud computing, genetic algorithm, HL7, back -propagation
Abstract
To analysis the speed of sending message in Healthcare standard 7 with the use of back propagation in neural network. Various algorithms are define in back propagation in neural network we can use back propagation algorithm for sending message purpose. Genetic Algorithm are used to extract information and send these information with this algorithm appears to be fastest method for training moderate sized feed forward neural network. It has a very efficient mat lab implementation. The need of this algorithm are used for analysis, increase the speed of sending message faster and accurately and more efficiently.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2013-10-15
Issue
Section
License
Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.