Prediction of postoperative recovery based on a computational rules extractor

Yi Zeng Hsieh; Chen Hsu Wang; Mu Chun Su; Ching Hu Lu; Jen Chih Yu; Yi Min Chiang

doi:10.1109/ICCE-TW.2015.7216928

Prediction of postoperative recovery based on a computational rules extractor

Yi Zeng Hsieh, Chen Hsu Wang, Mu Chun Su, Ching Hu Lu, Jen Chih Yu, Yi Min Chiang

Department of Computer Science and Information Engineering

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

2 Scopus citations

Abstract

One important factor for the patients in a postoperative recovery is hypothermia. The doctor must decide whether the patients should be sent to another place with better medical therapy. We therefore adopt the proposed PSO (particle swarm optimization) based Fuzzy classifier to retrieve the crisp rules from the postoperative given medical data from UCI machine learning database, where the rules can be used to assist in doctor diagnosis. The average correct ratio of our prediction for the postoperative recovery is about 84%.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	332-333
Number of pages	2
ISBN (Electronic)	9781479987443
DOIs	https://doi.org/10.1109/ICCE-TW.2015.7216928
State	Published - 20 Aug 2015
Event	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan Duration: 6 Jun 2015 → 8 Jun 2015

Publication series

Name	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference	2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Country/Territory	Taiwan
City	Taipei
Period	6/06/15 → 8/06/15

Keywords

fuzzy system
neural network
postoperative recovery

Access to Document

10.1109/ICCE-TW.2015.7216928

Cite this

Hsieh, Y. Z., Wang, C. H., Su, M. C., Lu, C. H., Yu, J. C., & Chiang, Y. M. (2015). Prediction of postoperative recovery based on a computational rules extractor. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 (pp. 332-333). Article 7216928 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2015.7216928

Hsieh, Yi Zeng ; Wang, Chen Hsu ; Su, Mu Chun et al. / Prediction of postoperative recovery based on a computational rules extractor. 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 332-333 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015).

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abstract = "One important factor for the patients in a postoperative recovery is hypothermia. The doctor must decide whether the patients should be sent to another place with better medical therapy. We therefore adopt the proposed PSO (particle swarm optimization) based Fuzzy classifier to retrieve the crisp rules from the postoperative given medical data from UCI machine learning database, where the rules can be used to assist in doctor diagnosis. The average correct ratio of our prediction for the postoperative recovery is about 84%.",

keywords = "fuzzy system, neural network, postoperative recovery",

author = "Hsieh, {Yi Zeng} and Wang, {Chen Hsu} and Su, {Mu Chun} and Lu, {Ching Hu} and Yu, {Jen Chih} and Chiang, {Yi Min}",

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Hsieh, YZ, Wang, CH, Su, MC, Lu, CH, Yu, JC & Chiang, YM 2015, Prediction of postoperative recovery based on a computational rules extractor. in 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015., 7216928, 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 332-333, 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, Taipei, Taiwan, 6/06/15. https://doi.org/10.1109/ICCE-TW.2015.7216928

Prediction of postoperative recovery based on a computational rules extractor. / Hsieh, Yi Zeng; Wang, Chen Hsu; Su, Mu Chun et al.
2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 332-333 7216928 (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015).

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

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Hsieh YZ, Wang CH, Su MC, Lu CH, Yu JC, Chiang YM. Prediction of postoperative recovery based on a computational rules extractor. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 332-333. 7216928. (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). doi: 10.1109/ICCE-TW.2015.7216928

Prediction of postoperative recovery based on a computational rules extractor

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