@article{ART003306445},
author={Guijung Kim},
title={A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2026},
volume={12},
number={1},
pages={175-180}
TY - JOUR
AU - Guijung Kim
TI - A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping
JO - Journal of Internet of Things and Convergence
PY - 2026
VL - 12
IS - 1
PB - The Korea Internet of Things Society
SP - 175
EP - 180
SN - 2466-0078
AB - This paper proposes a clinical decision support system that integrates SOM-based patient state clustering with FHIR ontology mapping using patient data collected in IoT-based healthcare environments. Patient state data exhibit high inter-individual variability and lack clearly defined labels, which limits the applicability of conventional supervised learning approaches. To address this issue, a Self-Organizing Map (SOM) is employed to identify latent patterns in patient states through unsupervised clustering. The resulting clusters are mapped to HL7 FHIR-based ontology structures, enabling clinically interpretable representations of patient states. Through this mapping process, clustering results are transformed from analytical outputs into semantically meaningful information that can be integrated with clinical information systems. Furthermore, patient states are categorized into stable, transitional, risk, and high-risk levels to support clinical decision-making. Case-based evaluation demonstrates that the proposed system can effectively assist in patient state assessment and clinical decision support. The proposed approach provides a meaningful decision support framework that enhances both interpretability and clinical applicability of patient state analysis results.
Key Words : Patient State Analysis, Self-Organizing Map, Unsupervised Learni
KW - Patient State Analysis;Self-Organizing Map;Unsupervised Learning;FHIR Ontology;Clinical Decision Support
DO -
UR -
ER -
Guijung Kim. (2026). A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping. Journal of Internet of Things and Convergence, 12(1), 175-180.
Guijung Kim. 2026, "A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping", Journal of Internet of Things and Convergence, vol.12, no.1 pp.175-180.
Guijung Kim "A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping" Journal of Internet of Things and Convergence 12.1 pp.175-180 (2026) : 175.
Guijung Kim. A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping. 2026; 12(1), 175-180.
Guijung Kim. "A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping" Journal of Internet of Things and Convergence 12, no.1 (2026) : 175-180.
Guijung Kim. A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping. Journal of Internet of Things and Convergence, 12(1), 175-180.
Guijung Kim. A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping. Journal of Internet of Things and Convergence. 2026; 12(1) 175-180.
Guijung Kim. A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping. 2026; 12(1), 175-180.
Guijung Kim. "A Clinical Decision Support System Using SOM-Based Patient State Clustering and FHIR Ontology Mapping" Journal of Internet of Things and Convergence 12, no.1 (2026) : 175-180.
