Technical Implementation of a Decision Tree for Pain Entity Identification.

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Bibliographic Details
Title: Technical Implementation of a Decision Tree for Pain Entity Identification.
Authors: Bayr E; Institute of eHealth, University of Applied Sciences - FH Joanneum Graz., Hansche T; Institute of eHealth, University of Applied Sciences - FH Joanneum Graz., Neger T; Institute of eHealth, University of Applied Sciences - FH Joanneum Graz., Pansinger L; Institute of eHealth, University of Applied Sciences - FH Joanneum Graz., Beck P; Decide Clinical Software GmbH, Graz., Kagerer C; Medical University of Graz, Graz., Libiseller A; Medical University of Graz, Graz., Lichtenegger K; Medical University of Graz, Graz., Sandner-Kiesling A; Medical University of Graz, Graz., Hochwarter S; HEALTH - Institute of Biomedical Research und Technologies, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz., Stampfer P; HEALTH - Institute of Biomedical Research und Technologies, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz., Neumayer B; Institute of eHealth, University of Applied Sciences - FH Joanneum Graz.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 07; Vol. 335, pp. 108-109.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260064