Research on online hospital feature mining based on HSM_LDA model

Corresponding author: LIU Yu-wen, lywzyfy@163.com

DOI: 10.12201/bmr.202305.00012

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  Abstract: Mining the medical characteristics of online hospitals plays a very important role in online medical recommendation. This paper proposes a Hospital Special Medical based LDA (HSM_LDA) model. This model takes hospital ID as the basis for text division, jointly models three variables of hospital, subject and vocabulary, and generates two distributions of hospital - subject (E) and subject - vocabulary (F). The hospital consultation text provided by Good Doctor Online health platform was used as the experimental data set to verify the results. The experimental results showed that the accuracy of hospital characteristic identification of HSM_LDA model was 87%, achieving a good effect.

  Key words: Online hospital; Hospital characteristics; HSM_LDA model; Topic identification; Medical recommendation

  Submit time: 17 May 2023

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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