Developing an Intuitive Graph Representation of Knowledge for Nonpharmacological Treatment of Psychotic Symptoms in Dementia

Autor: Zhenyu Zhang, Ping Yu, Nagesh Pai, Hui Chen (Rita) Chang, Shiyan Chen, Mengyang Yin, Ting Song, Sim Kim Lau, Chao Deng
Rok vydání: 2022
Předmět:
Zdroj: Journal of gerontological nursing. 48(4)
ISSN: 0098-9134
Popis: Applying person-centered, nonpharmacological interventions to manage psychotic symptoms of dementia is promoted for health care professionals, particularly gerontological nurses, who are responsible for care of older adults in nursing homes. A knowledge graph is a graph consisting of a set of concepts that are linked together by their interrelationship and has been widely used as a formal representation of domain knowledge in health. However, there is lack of a knowledge graph for nonpharmacological treatment of psychotic symptoms in dementia. Therefore, we developed a comprehensive, human- and machine-understandable knowledge graph for this domain, named Dementia-Related Psychotic Symptom Nonpharmacological Treatment Ontology (DRPSNPTO). This graph was built by adopting the established NeOn methodology, a knowledge graph engineering method, to meet the quality standards for biomedical knowledge graphs. This intuitive graph representation of the domain knowledge sets a new direction for visualizing and computerizing gerontological knowledge to facilitate human comprehension and build intelligent aged care information systems. [ Journal of Gerontological Nursing, 48 (4), 49–55.]
Databáze: OpenAIRE