Extraction and representation of nursing diagnosis for assisted assessment and affective analysis

Yu Hsien Chiu, Wei Hao Chen, Yu Wei Hung, Hsien Chang Wang, Kun Yi Huang, Chung-Hsien Wu

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

Abstract

Early detection of changes in patient's condition and making an accurate nursing diagnosis are crucial in clinical practice. Current protocol in nursing diagnosis highly depends on caregiver's experience. Demand on processing a large number of nursing documents and transferring expertise has become an important issue. This paper applies computational linguistics approach to extract knowledge and structural model of diagnosis for assisted assessment and change detection of affective expression. A corpus with peer-reviewed case reports and nursing documents were collected for analysis. The evaluation results show that narrative texts with inherent structure and emotional information can be systematically extracted.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Orange Technologies, ICOT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-53
Number of pages4
ISBN (Electronic)9781467382373
DOIs
Publication statusPublished - 2016 Jun 22
Event3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 192015 Dec 22

Publication series

NameProceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Other

Other3rd International Conference on Orange Technologies, ICOT 2015
CountryHong Kong
CityHong Kong
Period15-12-1915-12-22

Fingerprint

Nursing Diagnosis
Nursing
Structural Models
Linguistics
Caregivers
Computational linguistics
Network protocols
Processing

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Chiu, Y. H., Chen, W. H., Hung, Y. W., Wang, H. C., Huang, K. Y., & Wu, C-H. (2016). Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. In Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015 (pp. 50-53). [7498504] (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2015.7498504
Chiu, Yu Hsien ; Chen, Wei Hao ; Hung, Yu Wei ; Wang, Hsien Chang ; Huang, Kun Yi ; Wu, Chung-Hsien. / Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 50-53 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).
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Chiu, YH, Chen, WH, Hung, YW, Wang, HC, Huang, KY & Wu, C-H 2016, Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. in Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015., 7498504, Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015, Institute of Electrical and Electronics Engineers Inc., pp. 50-53, 3rd International Conference on Orange Technologies, ICOT 2015, Hong Kong, Hong Kong, 15-12-19. https://doi.org/10.1109/ICOT.2015.7498504

Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. / Chiu, Yu Hsien; Chen, Wei Hao; Hung, Yu Wei; Wang, Hsien Chang; Huang, Kun Yi; Wu, Chung-Hsien.

Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 50-53 7498504 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).

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

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AB - Early detection of changes in patient's condition and making an accurate nursing diagnosis are crucial in clinical practice. Current protocol in nursing diagnosis highly depends on caregiver's experience. Demand on processing a large number of nursing documents and transferring expertise has become an important issue. This paper applies computational linguistics approach to extract knowledge and structural model of diagnosis for assisted assessment and change detection of affective expression. A corpus with peer-reviewed case reports and nursing documents were collected for analysis. The evaluation results show that narrative texts with inherent structure and emotional information can be systematically extracted.

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Chiu YH, Chen WH, Hung YW, Wang HC, Huang KY, Wu C-H. Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. In Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 50-53. 7498504. (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015). https://doi.org/10.1109/ICOT.2015.7498504