Abstract
In addition to the benefits of facilitating doctor-patient communication and diagnosis, the wide application of online medical consultation (OMC) platforms is of possible significance to medical demand forecasting. However, studies examining the relationship between OMC data and medical demand are lacking. This study aims to assess the predictive value of OMC data for medical demand. Using sentiment analysis and word analysis results from OMC platform data, this study develops a medical demand forecasting model using OMC data in China. It is proposed that the research framework for forecasting highlights the importance of OMC data and would positively improve the accuracy of medical demand forecasting.
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