A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
DOI:
https://doi.org/10.15381/idata.v10i1.6355Keywords:
Datamining, business intelligence, K-Means algorithm, classification algorithm.Abstract
The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the decision making on the medicine supplying in the hospital. Here techniques of datamart are complemented, of extraction and load of data, as well as algorithms of mininig suchs K-means to classify the mentioned medicine consumptions. Finally there are graphs with some extracted results from the tests.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2007 Ivan Tapia Rivas, María Ruiz Rivera, Edgar Ruiz Lizama
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
AUTHORS RETAIN THEIR RIGHTS:
a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.
b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.
c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).
