An integrated data mining system for patient monitoring with applications on asthma care

S. Tseng, Chao Hui Lee, Jessie Chia Yu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

In this paper, we proposed an integrated data mining system for patient monitoring with applications on asthma care. In this system, two data mining methods named PBD and PBC are designed for predicting asthma attacks. The main methodology is to extract the significant information of asthma attacks and build classifiers by using users' daily bio-signal records and environmental data. Meanwhile, helpful medical information and suggestions supported by doctors are applied. In this way, the proposed system can predict the chances of asthma attacks and provide patients with the proper medical instructions or health messages. The experimental evaluation results proved that the proposed mechanism is effective and reliable in asthma attack prediction.

Original languageEnglish
Title of host publicationProceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Pages290-292
Number of pages3
DOIs
StatePublished - 22 Sep 2008
Event21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland
Duration: 17 Jun 200819 Jun 2008

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
CountryFinland
CityJyvaskyla
Period17/06/0819/06/08

Fingerprint Dive into the research topics of 'An integrated data mining system for patient monitoring with applications on asthma care'. Together they form a unique fingerprint.

Cite this