Prototype of software to support diagnosis for illness through blood samples results

Authors:
Gina Alexandra Alzate Gaitán;Diana Carolina Machado Useche;Jorge Enrique Rodríguez Rodríguez
Affiliations:
Distrital University "Francisco José de Caldas";Distrital University "Francisco José de Caldas";Distrital University "Francisco José de Caldas"
Venue:
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Year:
2008

Citing 4
Cited 0

On the convergence of the LMS algorithm with adaptive learning rate for linear feedforward networks

Neural Computation
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Machine Learning

Machine Learning
Data Mining: Concepts, Models, Methods and Algorithms

Data Mining: Concepts, Models, Methods and Algorithms

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, it is showed the development of software to support diagnosis for illness through blood samples results, specifically a Haematic table which results commonly in an examination required by a doctor. An artificial neuronal network was used in the develop of this software applying Backpropagation algorithm because its good ability in generalization and giving a system capable to learn in base of patterns provided. On the other hand it brings a lot of advantages so warrants this choice technique and it will be shown throughout this paper. So analysis and results prove software effectiveness and fulfillment of project objective, those based on results of all system users.