Automated learning of everyday patients' language for medical blogs analytics

Giovanni Stilo, Moreno De Vincenzi, Alberto E. Tozzi, Paola Velardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing how people discuss about health-related topics on dedicated forums and social networks such as Twitter, can provide valuable insight for syndromic surveillance and to predict disease outbreaks. In this paper we present a minimally trained algorithm to learn associations between technical and everyday language terms, based on pattern generalization and complete linkage clustering, and we then assess its utility on a case study of five common syndromes for surveillance purposes.

Original languageEnglish
Title of host publicationInternational Conference Recent Advances in Natural Language Processing, RANLP
Pages640-648
Number of pages9
Publication statusPublished - 2013
Event9th International Conference on Recent Advances in Natural Language Processing, RANLP 2013 - Hissar, Bulgaria
Duration: Sep 9 2013Sep 11 2013

Other

Other9th International Conference on Recent Advances in Natural Language Processing, RANLP 2013
CountryBulgaria
CityHissar
Period9/9/139/11/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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