Modeling the dynamics of medical information through web forums in medical industry

Jiyoung Woo, Min Jung Lee, Yungchang Ku, Hsinchun Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this study, we propose the web forum analysis model that can support corporate foresight activities. The medical industry can utilize the rich, objective decision-making data contained within web forums through which participants who have common interests disseminate and receive information and form self-contained communities. We collect and analyze the contents of the web forum using Web, text, and data mining techniques. We identify the major needs of Alzheimer disease patients and their families. We also show how to track the time-series patterns of major topics providing insight to the medical industry. Furthermore, we study the dynamic mechanisms of major needs using the epidemic model and describe how users in a web forum collectively participate in topic discussions. Using the proposed model, the medical industry can predict the future market by estimating how long a topic will persist and how strongly a topic attracts attention.

Original languageEnglish (US)
Pages (from-to)77-90
Number of pages14
JournalTechnological Forecasting and Social Change
Volume97
DOIs
StatePublished - Aug 1 2015

Fingerprint

Industry
Data Mining
Data mining
Time series
Decision Making
Alzheimer Disease
Decision making
Modeling
World Wide Web
Financial markets

Keywords

  • Alzheimer's disease
  • Epidemic model
  • Foresight support system for medical industry
  • Informational/emotional support
  • Medical web forum

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Applied Psychology

Cite this

Modeling the dynamics of medical information through web forums in medical industry. / Woo, Jiyoung; Lee, Min Jung; Ku, Yungchang; Chen, Hsinchun.

In: Technological Forecasting and Social Change, Vol. 97, 01.08.2015, p. 77-90.

Research output: Contribution to journalArticle

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