Visual Analytics in Delirium Management.
Stud Health Technol Inform
; 279: 147-148, 2021 May 07.
Article
en En
| MEDLINE
| ID: mdl-33965932
ABSTRACT
BACKGROUND:
Delirium is a patient safety issue that often occurs within the population of elderly people. As delirium may be characterized by fluctuating progress, the aim of this work is to find methods to visualize the occurrence of delirium over time in different patient stays in gerontopsychatric settings.METHODS:
We analyzed current data mining visualization techniques for clinical research using a delirium data set collected in a gerontopsychatric setting.RESULTS:
We identified heatmaps and dendrograms resulting from hierarchical clustering as a suitable visualization method.CONCLUSION:
Heat maps with hierarchical clustering are a suitable data mining tool or visualization technique to study delirium cases in the time course of patient stays.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Delirio
/
Minería de Datos
Límite:
Aged
/
Humans
Idioma:
En
Revista:
Stud Health Technol Inform
Asunto de la revista:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Año:
2021
Tipo del documento:
Article
País de afiliación:
Austria