Knowledge discovery: Detecting elderly patients with impaired mobility

Der Fa Lu, William Nick Street, Connie Delaney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Immobility is an important health concern for the elderly patients and healthcare providers who care for the elderly. The purpose of this study was to test a knowledge discovery method to detect elderly patients with impaired mobility in a large clinical dataset. The research method applied an exploratory design and a data mining classification method (cost sensitive Decision Tree J48 from WEKA) to classify patients. Important factors were identified by the Feature Selection method. The Decision Tree algorithm classified patients in the dataset with 65% sensitivity and 72% specificity for a reduced model. The results were evaluated by 10-fold cross validation. Examples of decision rules were also extracted. The study can be applied to classify different health problems in different populations and serves as a foundation for the development of healthcare decision support systems.

Original languageEnglish (US)
Title of host publicationConsumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006
Subtitle of host publicationThe 9th International Congress on Nursing Informatics
PublisherIOS Press
Number of pages3
ISBN (Print)158603622X, 9781586036225
StatePublished - 2006
Event9th International Congress on Nursing Informatics, NI 2006 - Seoul, Korea, Republic of
Duration: Jun 9 2006Jun 21 2006

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Other9th International Congress on Nursing Informatics, NI 2006
Country/TerritoryKorea, Republic of


  • Elderly Patients
  • Impaired Mobility
  • Knowledge Discovery


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