A Thematic Portfolio and Recommended Study on the Usefulness of Online Medical Reviews Based on QCA Methods

Yonghong Wang; Lei Huang

doi:10.1088/1742-6596/1757/1/012073

A Thematic Portfolio and Recommended Study on the Usefulness of Online Medical Reviews Based on QCA Methods

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Overview

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Author(s)

Yonghong Wang
Lei Huang

Related Research Unit(s)

City University of Hong Kong

Detail(s)

Original language	English
Article number	012073
Journal / Publication	Journal of Physics: Conference Series
Volume	1757
Online published	3 Feb 2021
Publication status	Published - 2021

Conference

Title	2020 International Conference on Computer Big Data and Artificial Intelligence, ICCBDAI 2020
Place	China
City	Changsha
Period	24 - 25 October 2020

Link(s)

DOI	DOI https://doi.org/10.1088/1742-6596/1757/1/012073 Final Published version
	Check@CityULib
Attachment(s)	Documents 73629100.pdf Final Published version, 623 KB, PDF Publisher's Copyright Statement This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85102395281&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(9f96aaa3-22d5-48a8-ad22-708ae778d1ba).html

Abstract

The online comment for doctors plays an important role in assisting patients to master the real medical situation and choose medical treatment, which greatly reduces the adverse effects of online medical market information asymmetry. but because ordinary patients lack professional medical knowledge and can not accurately and efficiently write comments that are useful to similar patients, we identify useful topics from online medical reviews and make combination recommendations based on patients with different diseases. guide patients to write comments from the most useful dimensions to alleviate the problem of information overload, thus maximizing the limited human resource utility. This study aimed at online medical platforms such as good doctors and micro-doctors collected online doctor reviews for major diseases and used LDA topic mining and fsQCA fuzzy set qualitative comparative analysis to analyze key topics that affect the usefulness of reviews and optimal topic combinations under different disease types.