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Using chatbots to compare drug prices extracted in real-time from the web

Published: 29 October 2019 Publication History

Abstract

In this paper we present a chatbot for the medicines information consultation. The system presented aims to act as a single access point for the natural and simplified information retrieval of medicines, its prices and risks, democratizing the access to knowledge and promoting the conscious consumption of medicines. The chatbot has two modes of operation: Quick Response and Interactive modes. The first answers questions asked in natural language, while the second has three interactive tasks, namely Navigation, Query and Price Comparison. In this work, we focus on the presentation of the system architecture and the Price Comparison task. This task presents the best prices for medicines and their best possible substitutes extracted in real-time from web with the help of information obtained from a linked data mashup. The work is still under development, however in this paper we present the results of preliminary assessments and possible directions for future work.

References

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Daniela Silva de Aquino. 2008. Por que o uso racional de medicamentos deve ser uma prioridade? Ciência & Saúde Coletiva 13 (2008), 733--736.
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Caio Viktor Avila, A. Calixto, Tulio Vidal Rolim., Wellington Franco., A. Venceslau, Vânia M. P. Vidal., Valéria M. Pequeno., and Francildo Felix De Moura. 2019. Medi-Bot: An Ontology based Chatbot for Portuguese Speakers Drug's Users. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,. INSTICC, SciTePress, 25--36.
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Caio Viktor S Avila, Tulio Vidal Rolim, José Wellington Franco da Silva, and Vania Maria Ponte Vidal. 2019. MediBot: Um chatbot para consulta de riscos e informações sobre medicamentos. In Anais Estendidos do XIX Simpósio Brasileiro de Computação Aplicada à Saúde. SBC, 1--6.
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François Belleau et al. 2008. Bio2RDF: towards a mashup to build bioinformatics knowledge systems. Journal of biomedical informatics 41, 5 (2008), 706--716.
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Christian Bizer, Tom Heath, and Tim Berners-Lee. 2011. Linked data: The story so far. In Semantic services, interoperability and web applications: emerging concepts. IGI Global, 205--227.
[6]
G1. 2016. Terra Remédios têm diferença de preços que pode passar de 5.000%. http://glo.bo/29qiFAg. Accessed: 2019-07-18.
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Hameedullah Kazi, BS Chowdhry, and Zeesha Memon. 2012. MedChatBot: An UMLS based Chatbot for Medical Students. International Journal of Computer Applications 55, 17 (2012).
[8]
World Health Organization et al. 2014. The rational use of drugs: report of the Conference of Experts. 1987. Geneva: World Health Organization (2014).

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      WebMedia '19: Proceedings of the 25th Brazillian Symposium on Multimedia and the Web
      October 2019
      537 pages
      ISBN:9781450367639
      DOI:10.1145/3323503
      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 ACM 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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 October 2019

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      Author Tags

      1. chatbots
      2. drugs
      3. linked data
      4. semantic web

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      WebMedia '19
      WebMedia '19: Brazilian Symposium on Multimedia and the Web
      October 29 - November 1, 2019
      Rio de Janeiro, Brazil

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      Overall Acceptance Rate 270 of 873 submissions, 31%

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