An overview of validation methods based on the medical claims database / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 1324-1328, 2019.
Artigo
em Chinês
| WPRIM
| ID: wpr-796779
ABSTRACT
Medical claims database is an important source of data for studying the characteristics, and burden of diseases, to provide a basis for the development of policy on management. The database is usually used to identify patients through International Classification of Diseases and free text-building algorithms, thus it is crucial to validate whether the algorithm is correctly identifing the targeted population. This paper introduces both traditional and emerging validation methods including machine learning, natural language processing and database linkage etc.. We also have tried to present a suitable validation method for the current situation in China, so as to promote the application of big data in medical areas and to provide reference for epidemiology studies, based on medical claims database in this country.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2019
Tipo de documento:
Artigo
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