Study on predicting model for acute hypotensive episodes in ICU based on support vector machine / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 451-455, 2011.
Artículo
en Chino
| WPRIM
| ID: wpr-306540
ABSTRACT
The occurrence of acute hypotensive episodes (AHE) in intensive care units (ICU) seriously endangers the lives of patients, and the treatment is mainly depended on the expert experience of doctors. In this paper, a model for predicting the occurrence of AHE in ICU has been developed using the theory of medical Informatics. We analyzed the trend and characteristics of the mean arterial blood pressure (MAP) between the patients who were suffering AHE and those who were not, and extracted the median, mean and other statistical parameters for learning and training based on support vector machine (SVM), then developed a predicting model. On this basis, we also compared different models consisted of different kernel functions. Experiments demonstrated that this approach performed well on classification and prediction, which would contribute to forecast the occurrence of AHE.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Enfermedad Aguda
/
Diagnóstico por Computador
/
Diagnóstico
/
Máquina de Vectores de Soporte
/
Predicción
/
Hipotensión
/
Unidades de Cuidados Intensivos
/
Métodos
/
Modelos Cardiovasculares
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2011
Tipo del documento:
Artículo
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