An android based medication reminder system: A concept analysis approach

Ray Hashemi, Les Sears, Azita Bahrami

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Failure to take medication as prescribed is one of the leading issues in heath care today. A class of applications designed to remind people to take their medication as prescribed. While there are quite a few medication reminder systems available, they all require the user to enter the data manually. To simplify the use of these applications, development of a system is presented in this paper that allows the user to take a picture of his/her prescription medication labels and have reminders automatically generated for them. The system is developed for Android OS powered mobile devices and it employs image processing and a concept analysis approach. The accuracy for parsing dosing instruction text from images of medication labels and creating reminder events is over 90%.

Original languageEnglish
Title of host publicationConceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, Proceedings
Pages315-322
Number of pages8
DOIs
StatePublished - 2011
Event19th International Conference on Conceptual Structures, ICCS 2011 - Derby, United Kingdom
Duration: Jul 25 2011Jul 29 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6828 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Conceptual Structures, ICCS 2011
Country/TerritoryUnited Kingdom
CityDerby
Period07/25/1107/29/11

Keywords

  • Android OS
  • Conept Analysis
  • Dose Scheduling System
  • Dosing Instruction Extraction
  • Medication Reminder System

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