Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation

Khai Nguyen, Kaisei Reio, Ryutaro Ichise

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)

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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