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Matching the Medical Demand in the Context of Online Medical Consultation Data

Published: 26 October 2021 Publication History

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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ICMHI '21: Proceedings of the 5th International Conference on Medical and Health Informatics
May 2021
347 pages
ISBN:9781450389846
DOI:10.1145/3472813
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 26 October 2021

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  1. Complications of Diabetes
  2. Diabetes Mellitus
  3. Prediction
  4. Risk scoring system

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