Modelling Events in Biomedical Decision Support Systems Using Ontologies.
Stud Health Technol Inform
; 316: 1482-1486, 2024 Aug 22.
Article
in En
| MEDLINE
| ID: mdl-39176484
ABSTRACT
Biomedical decision support systems play a crucial role in modern healthcare by assisting clinicians in making informed decisions. Events, such as physiological changes or drug reactions, are integral components of these systems, influencing patient outcomes and treatment strategies. However, effectively modeling events within these systems presents significant challenges due to the complexity and dynamic nature of medical data. Especially the differentiation between events and processes as well as the nature of events is often unclear. This paper explores approaches to modeling events in biomedical decision support systems, considering factors such as ontology-based representation. By addressing these challenges, we strive to provide the means for enhancing the functionality and interpretability of biomedical decision support systems concerning events.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Decision Support Systems, Clinical
/
Biological Ontologies
Limits:
Humans
Language:
En
Journal:
Stud Health Technol Inform
/
Stud. health technol. inform.
/
Studies in health technology and informatics (Online)
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2024
Document type:
Article
Affiliation country:
Switzerland
Country of publication:
Netherlands