Temporal abstractions for diabetic patients management

Cristiana Larizza, Riccardo Bellazzi, Alberto Riva

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

Abstract

This paper outlines how Temporal Abstractions can be used to analyze and interpret longitudinal data coming from diabetic patients monitoring. We use temporal abstraction mechanisms to provide an description of the patient’s state useful to interpret the therapeutic response to the current protocol and to provide proper suggestions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages319-330
Number of pages12
Volume1211
ISBN (Print)354062709X, 9783540627098
DOIs
Publication statusPublished - 1997
Event6th Conference on Artificial Intelligence in Medicine in Europe, AIME 1997 - Grenoble, France
Duration: Mar 23 1997Mar 26 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1211
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th Conference on Artificial Intelligence in Medicine in Europe, AIME 1997
Country/TerritoryFrance
CityGrenoble
Period3/23/973/26/97

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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