Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records
- DOI
- 10.1109/tem.2023.3307550
- Published
- 2024
- Container
- IEEE Transactions on Engineering Management
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tem.2023.3307550,
title = {Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records},
author = {Xin Liu and Yanju Zhou and Zongrun Wang and Ajay Kumar and Baidyanath Biswas},
year = {2024},
journal = {IEEE Transactions on Engineering Management},
doi = {10.1109/tem.2023.3307550},
url = {https://doi.org/10.1109/tem.2023.3307550}
}RIS
TY - JOUR TI - Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records AU - Xin Liu AU - Yanju Zhou AU - Zongrun Wang AU - Ajay Kumar AU - Baidyanath Biswas PY - 2024 JO - IEEE Transactions on Engineering Management DO - 10.1109/tem.2023.3307550 UR - https://doi.org/10.1109/tem.2023.3307550 ER -
APA
Liu, X., Zhou, Y., Wang, Z., Kumar, A., & Biswas, B. (2024). Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records. IEEE Transactions on Engineering Management. https://doi.org/10.1109/tem.2023.3307550
Source records
- crossref · retrieved 2026-09-25T18:05:50.944Z