Syndrome classification based on manifold ranking for viral hepatitis / 中国结合医学杂志
Chinese journal of integrative medicine
;
(12): 394-399, 2014.
Artigo
em Inglês
| WPRIM
| ID: wpr-267189
ABSTRACT
Treatment determination based on syndrome differentiation is the key of Chinese medicine. A feasible way of improving the clinical therapy effectiveness is needed to correctly differentiate the syndrome classifications based on the clinical manifestations. In this paper, a novel data mining method based on manifold ranking (MR) is proposed to explore the relation between syndromes and symptoms for viral hepatitis. Since MR could take the symptom data with expert differentiation and the symptom data without expert differentiation into the task of syndrome classification, the clinical information used for modeling the syndrome features is greatly enlarged so as to improve the precise of syndrome classification. In addition, the proposed method of syndrome classification could also avoid two disadvantages in previous methods:
linear relation of the clinical data and mutually exclusive symptoms among different syndromes. And it could help exploit the latent relation between syndromes and symptoms more effectively. Better performance of syndrome classification is able to be achieved according to the experimental results and the clinical experts.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Classificação
/
Hepatite Viral Humana
/
Medicina Tradicional Chinesa
Tipo de estudo:
Estudo diagnóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Chinese journal of integrative medicine
Ano de publicação:
2014
Tipo de documento:
Artigo
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