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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面50-53
頁數4
ISBN(電子)9781467382373
DOIs
出版狀態Published - 2016 六月 22
事件3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong
持續時間: 2015 十二月 192015 十二月 22

出版系列

名字Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Other

Other3rd International Conference on Orange Technologies, ICOT 2015
國家Hong Kong
城市Hong Kong
期間15-12-1915-12-22

指紋

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

引用此文

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. 於 Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015 (頁 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. 頁 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, CH 2016, Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. 於 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., 頁 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).

研究成果: Conference 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 CH. Extraction and representation of nursing diagnosis for assisted assessment and affective analysis. 於 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