A prediction model for patient classification according to nursing need: Using data mining techniques

Gyeong Ae Seomun; Sung Ok Chang; Su Jeong Lee; In A. Kim; Sun A. Park

A prediction model for patient classification according to nursing need: Using data mining techniques

Gyeong Ae Seomun, Sung Ok Chang, Su Jeong Lee, In A. Kim, Sun A. Park

Department of Nursing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The purpose of this study was to construct a prediction model for patient classification according to nursing need. The results were assessed from the classification of the hospitalized cancer patients by three different data mining techniques: logistic regression, decision tree and neural network. Among these three techniques, neural network showed the best prediction power in ROC curve verification. The prediction model for patient classification developed by neural network based on nurse needs produced a prediction accuracy of 84.06%.

Original language	English
Title of host publication	Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006
Subtitle of host publication	The 9th International Congress on Nursing Informatics
Publisher	IOS Press
Number of pages	1
ISBN (Print)	158603622X, 9781586036225
Publication status	Published - 2006
Event	9th International Congress on Nursing Informatics, NI 2006 - Seoul, Korea, Republic of Duration: 2006 Jun 9 → 2006 Jun 21

Publication series

Name	Studies in Health Technology and Informatics
Volume	122
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	9th International Congress on Nursing Informatics, NI 2006
Country/Territory	Korea, Republic of
City	Seoul
Period	06/6/9 → 06/6/21

Keywords

Cancer
Classification
Data
Model
Nursing

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Seomun, G. A., Chang, S. O., Lee, S. J., Kim, I. A., & Park, S. A. (2006). A prediction model for patient classification according to nursing need: Using data mining techniques. In Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006: The 9th International Congress on Nursing Informatics (Studies in Health Technology and Informatics; Vol. 122). IOS Press.

A prediction model for patient classification according to nursing need: Using data mining techniques. / Seomun, Gyeong Ae ; Chang, Sung Ok; Lee, Su Jeong et al.
Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006: The 9th International Congress on Nursing Informatics. IOS Press, 2006. (Studies in Health Technology and Informatics; Vol. 122).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Seomun, GA , Chang, SO, Lee, SJ, Kim, IA & Park, SA 2006, A prediction model for patient classification according to nursing need: Using data mining techniques. in Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006: The 9th International Congress on Nursing Informatics. Studies in Health Technology and Informatics, vol. 122, IOS Press, 9th International Congress on Nursing Informatics, NI 2006, Seoul, Korea, Republic of, 06/6/9.

Seomun, Gyeong Ae ; Chang, Sung Ok ; Lee, Su Jeong et al. / A prediction model for patient classification according to nursing need : Using data mining techniques. Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006: The 9th International Congress on Nursing Informatics. IOS Press, 2006. (Studies in Health Technology and Informatics).

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A prediction model for patient classification according to nursing need: Using data mining techniques

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

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