The applicaton of data mining skill on identifying critical factors in the web-based incident reporting system

Ting Ting Lee*

*Corresponding author for this work

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

Abstract

The purpose of this is study was to apply data mining skill to explore the fall critical factors. Feature selection and variable screening were applyed on the total of 725 incidents as the first two screening steps. The neuronetwork model was - MLP (multilayer perceptron) 19-7-2 with sensitiviy and specificity as 50.00% and 84.42, respectively. The result could be utilized for futher intervention studys to validate the finings.

Original languageEnglish
Title of host publicationConnecting Health and Humans - Proceedings of NI2009
Subtitle of host publicationThe 10th International Congress on Nursing Informatics
PublisherIOS Press
Pages765
Number of pages1
ISBN (Print)9781607500247
DOIs
StatePublished - 2009
Externally publishedYes
Event10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009 - Helsinki, Finland
Duration: 28 06 200901 07 2009

Publication series

NameStudies in Health Technology and Informatics
Volume146
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009
Country/TerritoryFinland
CityHelsinki
Period28/06/0901/07/09

Keywords

  • Data mining
  • Incident report system
  • Neuronetwork model

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