Doctor recommendations based on the ERNIE model
Meng Chen, Geng Lin, Jianyi Huang · 2023
In order to recommend appropriate departments and doctors to patients, this paper uses the ERNIE pre-trained language learning model to classify corresponding departments for patient’s disease descriptions, then calculates the similarity between patient’s disease descriptions and doctors’ expertise, so as to show patients the ranking of doctors in corresponding departments for patients to choose consultation. As is shown in the experimental results on Haodf.com datasets, the ERNIE model outperforms other models in terms of evaluation indexes, and the accuracy rate is improved by 3.54%-11.51%.