loading
Documents

Research.Publish.Connect.

Paper

Authors: Francisco Mota 1 ; Nuno Abreu 2 ; Tiago Guimarães 1 and Manuel Santos 1

Affiliations: 1 Algoritmi Research Centre, University of Minho and Portugal ; 2 Centro Hospitalar e Universitário do Porto and Portugal

ISBN: 978-989-758-377-3

Keyword(s): Data Mining, Classification, CRISP-DM, WEKA, Pressure Ulcers.

Abstract: Nurses follow well-defined guidelines in order to avoid the occurrence of pressure ulcers (pU) in patients under their care, not being always successful. This work intends to produce prediction models using Data Mining (DM) techniques in order to anticipate uP treatment. The work was conducted in the Oporto Hospital Center (CHP). For the construction of this DM study, the phases of the CRISP DM methodology were taken into account. In particular, the DM focus is to show that the time factor and frequency of interventions may influence the prediction of pU classification models. To prove this, we used a data set (containing 1339 records) where different classification techniques were applied using WEKA tool. Through the classification technique (decision tree), it was possible to create a guideline that contains all the scenarios and instructions that the professional can use in order to avoid patients to develop pU. For its construction we used the model that presented a higher percent age of sensitivity (number of positive cases correctly classified as "NO" developed pU). The conclusions were: the factors studied are good predictors of PU and the guideline obtained, through automatic techniques, can help professionals apply care to the patient more quickly. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.175.38

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mota, F.; Abreu, N.; Guimarães, T. and Santos, M. (2019). A Data Mining Study on Pressure Ulcers.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 251-258. DOI: 10.5220/0007930002510258

@conference{data19,
author={Francisco Mota. and Nuno Abreu. and Tiago Guimarães. and Manuel Filipe Santos.},
title={A Data Mining Study on Pressure Ulcers},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007930002510258},
isbn={978-989-758-377-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Data Mining Study on Pressure Ulcers
SN - 978-989-758-377-3
AU - Mota, F.
AU - Abreu, N.
AU - Guimarães, T.
AU - Santos, M.
PY - 2019
SP - 251
EP - 258
DO - 10.5220/0007930002510258

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.