Antidote application: An educational system for treatment of common toxin overdose

Jon Long, Vladimir Brusic, Yingyuan Zhang, Guang Lan Zhang, Lou Chitkushev

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

Abstract

In this poster, we describe the Antidote Application (AA), a computational system that automatically recommends individualized antidote treatment regimen(s) and patient-specific doses(s) based on each patient's parameters. The AA can be used as an educational tool for toxicological study of the most common toxins.

Original languageEnglish
Title of host publicationACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages598-599
Number of pages2
ISBN (Electronic)9781450328944
DOIs
Publication statusPublished - Sep 20 2014
Event5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014 - Newport Beach, United States
Duration: Sep 20 2014Sep 23 2014

Publication series

NameACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Other

Other5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014
CountryUnited States
CityNewport Beach
Period9/20/149/23/14

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Keywords

  • Antidote
  • Poison
  • Poison control
  • Toxin

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Software
  • Biomedical Engineering

Cite this

Long, J., Brusic, V., Zhang, Y., Zhang, G. L., & Chitkushev, L. (2014). Antidote application: An educational system for treatment of common toxin overdose. In ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 598-599). (ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics). Association for Computing Machinery, Inc. https://doi.org/10.1145/2649387.2660795