loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Marcus Barann ; Stefan Heldmann ; Jan Klein and Stefan Kraß

Affiliation: Fraunhofer Institute for Digital Medicine MEVIS, Bremen/Lübeck, Germany

Keyword(s): Computer-interpretable Guidelines, Decision Support Systems.

Abstract: In this paper we describe a Python SDK that we developed and which we used to create a decision support system (DSS) for determining and presenting clinical practice guideline (CPG) recommendations for individual patients. Computer-interpretable guidelines (CIGs) are formalisms that represent CPG knowledge. Our Python SDK implements a model and an engine for a CIG formalism that can be easily integrated into any Python-based application. We describe important aspects of creating a guideline model with our CIG and present a web application that interacts with our guideline engine through a REST API. The web application implements generic components to manage and display the current input needs, recommendations, and statements. In comparison to PROforma, we added predicate components, which facilitate the reuse of logical expressions. Arguments refer to predicates instead of including expressions. This allows reusing the same expression in multiple arguments. We also allow the use of t he predicates in other expressions, like in expressions of other predicates and task preconditions. To facilitate the integration of our CIG in decision support systems, we added properties to all PROforma components that represent a code from a terminology system. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.128.197.221

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Barann, M.; Heldmann, S.; Klein, J. and Kraß, S. (2022). A Python SDK for Authoring and using Computer-interpretable Guidelines. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOINFORMATICS; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 99-106. DOI: 10.5220/0010792800003123

@conference{bioinformatics22,
author={Marcus Barann. and Stefan Heldmann. and Jan Klein. and Stefan Kraß.},
title={A Python SDK for Authoring and using Computer-interpretable Guidelines},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOINFORMATICS},
year={2022},
pages={99-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010792800003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOINFORMATICS
TI - A Python SDK for Authoring and using Computer-interpretable Guidelines
SN - 978-989-758-552-4
IS - 2184-4305
AU - Barann, M.
AU - Heldmann, S.
AU - Klein, J.
AU - Kraß, S.
PY - 2022
SP - 99
EP - 106
DO - 10.5220/0010792800003123
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic