Hypertension detection using a case-based reasoning approach

Kuang Hung Hsu; Chaochang Chiu; Nan Hsing Chiu; Po Chi Lee; Wen Ko Chiu; Thu Hua Liu; Yi Chou Juang; Chorng Jer Hwang; Chi I. Hsu

doi:10.1007/978-3-642-00909-9_25

Hypertension detection using a case-based reasoning approach

Kuang Hung Hsu
, Chaochang Chiu^*
, Nan Hsing Chiu
, Po Chi Lee
, Wen Ko Chiu
, Thu Hua Liu
, Yi Chou Juang
, Chorng Jer Hwang
, Chi I. Hsu

^*Corresponding author for this work

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

Abstract

The exploration of three-dimensional (3D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a classification approach based on the hybrid of the case-based reasoning (CBR) and genetic algorithms (GAs) approach for hypertension detection using anthropometric body surface scanning data. The experiment showed that our proposed approach is able to improve the effectiveness of case matching of hypertension disease.

Original language	English
Title of host publication	New Advances in Intelligent Decision Technologies
Subtitle of host publication	Results of the First KES International Symposium IDT 2009
Editors	Kazumi Nakamatsu, Gloria Phillips-Wren, Lakhmi Jain, Robert Howlett
Publisher	Springer Verlag
Pages	255-263
Number of pages	9
ISBN (Print)	9783642009082
DOIs	https://doi.org/10.1007/978-3-642-00909-9_25
State	Published - 2009

Publication series

Name	Studies in Computational Intelligence
Volume	199
ISSN (Print)	1860-949X

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10.1007/978-3-642-00909-9_25

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Hsu, K. H., Chiu, C., Chiu, N. H., Lee, P. C., Chiu, W. K., Liu, T. H., Juang, Y. C., Hwang, C. J., & Hsu, C. I. (2009). Hypertension detection using a case-based reasoning approach. In K. Nakamatsu, G. Phillips-Wren, L. Jain, & R. Howlett (Eds.), New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009 (pp. 255-263). (Studies in Computational Intelligence; Vol. 199). Springer Verlag. https://doi.org/10.1007/978-3-642-00909-9_25

Hsu, Kuang Hung ; Chiu, Chaochang ; Chiu, Nan Hsing et al. / Hypertension detection using a case-based reasoning approach. New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009. editor / Kazumi Nakamatsu ; Gloria Phillips-Wren ; Lakhmi Jain ; Robert Howlett. Springer Verlag, 2009. pp. 255-263 (Studies in Computational Intelligence).

@inproceedings{956ff94f80a742f1a85cc73c5a2ac0c6,

title = "Hypertension detection using a case-based reasoning approach",

abstract = "The exploration of three-dimensional (3D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a classification approach based on the hybrid of the case-based reasoning (CBR) and genetic algorithms (GAs) approach for hypertension detection using anthropometric body surface scanning data. The experiment showed that our proposed approach is able to improve the effectiveness of case matching of hypertension disease.",

author = "Hsu, \{Kuang Hung\} and Chaochang Chiu and Chiu, \{Nan Hsing\} and Lee, \{Po Chi\} and Chiu, \{Wen Ko\} and Liu, \{Thu Hua\} and Juang, \{Yi Chou\} and Hwang, \{Chorng Jer\} and Hsu, \{Chi I.\}",

year = "2009",

doi = "10.1007/978-3-642-00909-9\_25",

language = "英语",

isbn = "9783642009082",

series = "Studies in Computational Intelligence",

publisher = "Springer Verlag",

pages = "255--263",

editor = "Kazumi Nakamatsu and Gloria Phillips-Wren and Lakhmi Jain and Robert Howlett",

booktitle = "New Advances in Intelligent Decision Technologies",

address = "德国",

}

Hsu, KH, Chiu, C, Chiu, NH, Lee, PC, Chiu, WK, Liu, TH, Juang, YC, Hwang, CJ & Hsu, CI 2009, Hypertension detection using a case-based reasoning approach. in K Nakamatsu, G Phillips-Wren, L Jain & R Howlett (eds), New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009. Studies in Computational Intelligence, vol. 199, Springer Verlag, pp. 255-263. https://doi.org/10.1007/978-3-642-00909-9_25

Hypertension detection using a case-based reasoning approach. / Hsu, Kuang Hung; Chiu, Chaochang; Chiu, Nan Hsing et al.
New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009. ed. / Kazumi Nakamatsu; Gloria Phillips-Wren; Lakhmi Jain; Robert Howlett. Springer Verlag, 2009. p. 255-263 (Studies in Computational Intelligence; Vol. 199).

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

TY - GEN

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AU - Hsu, Kuang Hung

AU - Chiu, Chaochang

AU - Chiu, Nan Hsing

AU - Lee, Po Chi

AU - Chiu, Wen Ko

AU - Liu, Thu Hua

AU - Juang, Yi Chou

AU - Hwang, Chorng Jer

AU - Hsu, Chi I.

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AB - The exploration of three-dimensional (3D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a classification approach based on the hybrid of the case-based reasoning (CBR) and genetic algorithms (GAs) approach for hypertension detection using anthropometric body surface scanning data. The experiment showed that our proposed approach is able to improve the effectiveness of case matching of hypertension disease.

UR - https://www.scopus.com/pages/publications/65449181669

U2 - 10.1007/978-3-642-00909-9_25

DO - 10.1007/978-3-642-00909-9_25

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SN - 9783642009082

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A2 - Phillips-Wren, Gloria

A2 - Jain, Lakhmi

A2 - Howlett, Robert

PB - Springer Verlag

ER -

Hsu KH, Chiu C, Chiu NH, Lee PC, Chiu WK, Liu TH et al. Hypertension detection using a case-based reasoning approach. In Nakamatsu K, Phillips-Wren G, Jain L, Howlett R, editors, New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009. Springer Verlag. 2009. p. 255-263. (Studies in Computational Intelligence). doi: 10.1007/978-3-642-00909-9_25

Hypertension detection using a case-based reasoning approach

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