Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation

Khai Nguyen, Kaisei Reio, Ryutaro Ichise

2018

Abstract

In this paper, we share a sketch of an automatic care plan recommendation system in Japan. After that, we describe our proposed method and experience in the first step: clinical ontology mapping. We discuss the difficulties, method, preliminary results of a case study, which is to find corresponding mappings between two ontologies, the Minimum Data Set 3.0 (MDS) and the International Classification of Functioning, Disability and Health (ICF)

Paper Citation

in Harvard Style

Nguyen K., Reio K. and Ichise R. (2018). Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health, ISBN 978-989-758-281-3, pages 722-726. DOI: 10.5220/0006753107220726

in Bibtex Style

@conference{ai4health18,
author={Khai Nguyen and Kaisei Reio and Ryutaro Ichise},
title={Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,},
year={2018},
pages={722-726},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006753107220726},
isbn={978-989-758-281-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,
TI - Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation
SN - 978-989-758-281-3
AU - Nguyen K.
AU - Reio K.
AU - Ichise R.
PY - 2018
SP - 722
EP - 726
DO - 10.5220/0006753107220726