Temporal Relation Extraction in Outcome Variances of Clinical Pathways

Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Brendan Franagan, Naoki Nakashima, Sachio Hirokawa

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

Abstract

Recently the clinical pathway has progressed with digitalization and the analysis of activity. There are many previous studies on the clinical pathway but not many feed directly into medical practice. We constructed a mind map system that applies the spanning tree. This system can visualize temporal relations in outcome variances, and indicate outcomes that affect long-term hospitalization.

Original languageEnglish
Title of host publicationMEDINFO 2015
Subtitle of host publicationeHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
EditorsAndrew Georgiou, Indra Neil Sarkar, Paulo Mazzoncini de Azevedo Marques
PublisherIOS Press
Number of pages1
ISBN (Electronic)9781614995630
DOIs
Publication statusPublished - Jan 1 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Franagan, B., ... Hirokawa, S. (2015). Temporal Relation Extraction in Outcome Variances of Clinical Pathways. In A. Georgiou, I. N. Sarkar, & P. M. de Azevedo Marques (Eds.), MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1077