2017
Peixoto, C.; Brito, C.; Fontainhas, M.; Peixoto, H.; Machado, J.; Abelha, A.
Continuous ambulatory peritoneal dialysis: Business intelligence applied to patient monitoring: CAPD study and statistics Proceedings Article
Em: I., Younas M. Portela F. Awan (Ed.): pp. 178-185, Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538632819, (cited By 0; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622).
Resumo | Links | BibTeX | Etiquetas: Blood and urine samples; Data informations; Health information systems; Kidney; Kidney disease; Peritoneal dialysis; Personal information, Blood; Competitive intelligence; Dialysis; Information analysis; Information dissemination; Information systems; Information use; Internet of things; Interoperability; Microarrays; Patient monitoring, Patient treatment
@inproceedings{Peixoto2017178,
title = {Continuous ambulatory peritoneal dialysis: Business intelligence applied to patient monitoring: CAPD study and statistics},
author = {C. Peixoto and C. Brito and M. Fontainhas and H. Peixoto and J. Machado and A. Abelha},
editor = {Younas M. Portela F. Awan I.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047407906&doi=10.1109%2fFiCloudW.2017.91&partnerID=40&md5=52837dd5542ae72ec58b161ef95de992},
doi = {10.1109/FiCloudW.2017.91},
isbn = {9781538632819},
year = {2017},
date = {2017-01-01},
journal = {Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017},
volume = {2017-January},
pages = {178-185},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Continuous Ambulatory Peritoneal Dialysis (CAPD) is one of the many treatments for patients with advanced kidney disease. It is a treatment that needs regular monitoring and understanding of all the factors of blood and urine samples of each patient to understand if the treatment is going well. This article will explore data information from patients undergoing CAPD procedure. This data information helps to comprehend how interoperability acts in a Health Information System since this data contains patients' personal information but also patients' blood and urine samples' results, meaning all the services must be connected. In this work, it is used Business Intelligence process to prove that all the information available can be useful to understand the treatment above-mentioned and also how can several factors influence or not the number of patients going through kidney failure and CAPD by the study of indicators. © 2017 IEEE.},
note = {cited By 0; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622},
keywords = {Blood and urine samples; Data informations; Health information systems; Kidney; Kidney disease; Peritoneal dialysis; Personal information, Blood; Competitive intelligence; Dialysis; Information analysis; Information dissemination; Information systems; Information use; Internet of things; Interoperability; Microarrays; Patient monitoring, Patient treatment},
pubstate = {published},
tppubtype = {inproceedings}
}