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Global Health Economics and
Sustainability
Online health community reviews

5. Conclusion Informatics, 8(5):e17813.

Based on the analysis of reviews from OHCs, we observed https://doi.org/10.2196/17813
that while sentiments vary slightly across reviews related Cai, L., Peng, C., Chen, S., & Guo, L. (2019). Sentiment analysis
to different diseases, most of the reviews are positive. In based on multiple features convolutional neural networks.
examining patient reviews, it is evident that patients are Computer Engineering, 45(4):169-174, 180. [In Chinese]
not only concerned with the doctor’s medical skills but https://doi.org/10.19678/j.issn.1000-3428.0050338
also place significant importance on the doctor’s attitude
and patience, highlighting the crucial role of providing a Chaudhuri, A. (2022). Sentiment Analysis of COVID-19 reviews
using hierarchical version of d-RNN. Computacion Y
positive patient experience. Henceforth, we aim to expand Sistemas, 26(2):1045-1067.
our research to include multiple OHCs and integrate text
mining with questionnaire surveys to conduct a more https://doi.org/10.13053/CyS-26-2-4143
comprehensive sentiment analysis of OHC users. Chen, X., Shen, Z., Guan, T., Tao, Y., Kang, Y., & Zhang, Y. (2024).
Analyzing patient experience on weibo: Machine learning
Acknowledgments approach to topic modeling and sentiment analysis. JMIR

None. Medical Informatics, 12:e59249.
https://doi.org/10.2196/59249
Funding
Chen, Z., Song, Q., Wang, A., Xie, D., & Qi, H. (2022). Study on
None. the relationships between doctor characteristics and online
consultation volume in the online medical community.
Conflict of interest Healthcare (Basel), 10(8):1551.
The authors declare that they have no competing interests. https://doi.org/10.3390/healthcare10081551

Author contributions Cui, J., Wang, Z., Ho, S.B., & Cambria, E. (2023). Survey
on sentiment analysis: Evolution of research methods
Conceptualization: Huiying Qi and topics. In: Artificial Intelligence Review. Germany:
Formal analysis: Huiying Qi Springer, p.1-42.
Investigation: Chen Wang https://doi.org/10.1007/s10462-022-10386-z
Methodology: Huiying Qi Elbattah, M., Arnaud, E., Gignon, M., & Dequen, G. (2021).
Visualization: Chen Wang The Role of Text Analytics in Healthcare: A Review of
Writing – original draft: Chen Wang Recent Developments and Applications. In: Proceedings
Writing – review & editing: Huiying Qi of the 14 International Joint Conference on Biomedical
th
Ethics approval and consent to participate Engineering Systems and Technologies, p.825-832.
https://doi.org/10.5220/0010414508250832
Not applicable.
Fang, Y., Sun, J., & Han, B. (2020). Research on text sentiment
Consent for publication analysis method based on BERT. Information Technology
and Informatization, 2:108-111. [In Chinese]
Not applicable.
Fu, J., Li, C., Zhou, C., Li, W., Lai, J., Deng, S., et al. (2023).
Availability of data Methods for analyzing the contents of social media for
health care: Scoping review. Journal of Medical Internet
The data used in this study can be obtained or downloaded Research, 25:e43349.
from www.haodf.com/.
https://doi.org/10.2196/43349
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