Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks

Liang Yao; Chengsheng Mao; Yuan Luo

doi:10.1109/ICHI-W.2018.00024

Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks

Liang Yao, Chengsheng Mao, Yuan Luo^*

^*Corresponding author for this work

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

6 Scopus citations

Abstract

Clinical text classification is an important problem in medical natural language processing. Existing studies have conventionally focused on rules or knowledge sources-based feature engineering, but only a few have exploited effective feature learning capability of deep learning methods. In this study, we propose a novel approach which combines rule-based features and knowledge-guided deep learning techniques for effective disease classification. We evaluated our method on the 2008 Integrating Informatics with Biology and the Bedside (i2b2) obesity challenge. The results show that our method outperforms the state of the art methods.

Original language	English (US)
Title of host publication	Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	70-71
Number of pages	2
ISBN (Electronic)	9781538667774
DOIs	https://doi.org/10.1109/ICHI-W.2018.00024
State	Published - Jul 16 2018
Event	6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 - New York, United States Duration: Jun 4 2018 → Jun 7 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018

Other

Other	6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
Country	United States
City	New York
Period	6/4/18 → 6/7/18

Keywords

clinical text classification, obesity challenge, convolutional neural networks, word embeddings, entity embeddings

ASJC Scopus subject areas

Information Systems and Management
Health Informatics

Access to Document

10.1109/ICHI-W.2018.00024

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Cite this

Yao, L., Mao, C., & Luo, Y. (2018). Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 (pp. 70-71). [8411810] (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI-W.2018.00024

Yao, Liang ; Mao, Chengsheng ; Luo, Yuan. / Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 70-71 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018).

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abstract = "Clinical text classification is an important problem in medical natural language processing. Existing studies have conventionally focused on rules or knowledge sources-based feature engineering, but only a few have exploited effective feature learning capability of deep learning methods. In this study, we propose a novel approach which combines rule-based features and knowledge-guided deep learning techniques for effective disease classification. We evaluated our method on the 2008 Integrating Informatics with Biology and the Bedside (i2b2) obesity challenge. The results show that our method outperforms the state of the art methods.",

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Yao, L, Mao, C & Luo, Y 2018, Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. in Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018., 8411810, Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018, Institute of Electrical and Electronics Engineers Inc., pp. 70-71, 6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018, New York, United States, 6/4/18. https://doi.org/10.1109/ICHI-W.2018.00024

Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. / Yao, Liang; Mao, Chengsheng; Luo, Yuan.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 70-71 8411810 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018).

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

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Yao L, Mao C, Luo Y. Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 70-71. 8411810. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018). https://doi.org/10.1109/ICHI-W.2018.00024