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ThinkMind // International Journal On Advances in Life Sciences, volume 4, numbers 1 and 2, 2012 // View article lifsci_v4_n12_2012_2


Monitoring chronic diseases using soft computing techniques and rule based system: the CHRONIOUS Case

Authors:
Piero Giacomelli
Giulia Munaro
Roberto Rosso

Keywords: Telemedicine; chronic disease management; machine learning; soft computing techniques.

Abstract:
CHRONIOUS is an Open, Ubiquitous and Adaptive Chronic Disease Management Platform for Chronic Obstructive Pulmonary Disease(COPD) Chronic Kidney Disease (CKD) and Renal Insufficiency. It consists of several modules: an ontology based literature search engine, a rule based decision support system, remote sensors interacting with lifestyle interfaces (PDA, monitor touch screen) and a machine learning module. All these modules interact each other to allow the monitoring of two types of chronic diseases and to help clinician in taking decision for cure purpose. This paper illustrates how some machine learning algorithms and a rule based decision support system are used in the CHRONIOUS project, to monitor chronic patient. We will analyse how a set of machine learning algorithms can be used in smart devices to alert the clinician in case of a patient health condition worsening trend.

Pages: 11 to 20

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: June 30, 2012

Published in: journal

ISSN: 1942-2660

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