Predicting Practice Setting Using Topic Modeling

Liwei Wang; Yanshan Wang; Feichen Shen; Majid Rastegar-Mojarad; Hongfang Liu

doi:10.1109/ICHI-W.2018.00020

Predicting Practice Setting Using Topic Modeling

Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu

Digital Health Sciences

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

Abstract

The implementation of problem lists in EHRs has a potential to help practitioners to provide customized care to patients. However, it remains an open question on how to leverage problem lists in different practice settings to provide tailored care, of which the bottleneck lies in the associations between problem list and practice setting. In this study, we investigated their association and predicted practice setting based on problem list using topic modeling.

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	62-63
Number of pages	2
ISBN (Electronic)	9781538667774
DOIs	https://doi.org/10.1109/ICHI-W.2018.00020
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/Territory	United States
City	New York
Period	6/4/18 → 6/7/18

Keywords

latent dirichlet allocation
practice setting
problem list
topic modeling

ASJC Scopus subject areas

Information Systems and Management
Health Informatics

Access to Document

10.1109/ICHI-W.2018.00020

Cite this

Wang, L., Wang, Y., Shen, F., Rastegar-Mojarad, M., & Liu, H. (2018). Predicting Practice Setting Using Topic Modeling. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 (pp. 62-63). Article 8411806 (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.2018.00020

Predicting Practice Setting Using Topic Modeling. / Wang, Liwei; Wang, Yanshan; Shen, Feichen et al.
Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 62-63 8411806 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018).

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

Wang, L, Wang, Y, Shen, F, Rastegar-Mojarad, M & Liu, H 2018, Predicting Practice Setting Using Topic Modeling. in Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018., 8411806, Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018, Institute of Electrical and Electronics Engineers Inc., pp. 62-63, 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.2018.00020

Wang L, Wang Y, Shen F, Rastegar-Mojarad M, Liu H. Predicting Practice Setting Using Topic Modeling. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 62-63. 8411806. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018). doi: 10.1109/ICHI-W.2018.00020

Wang, Liwei ; Wang, Yanshan ; Shen, Feichen et al. / Predicting Practice Setting Using Topic Modeling. Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 62-63 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018).

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Predicting Practice Setting Using Topic Modeling

Abstract

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Keywords

ASJC Scopus subject areas

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