Study on Risk Assessment Model of in Diagnostic Reagent Adverse Events Based on BP Neural Network / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 136-139, 2019.
Artigo
em Chinês
| WPRIM
| ID: wpr-772544
ABSTRACT
OBJECTIVE@#To modify the monitoring process and means of adverse events diagnostic reagents,improve the quantity and quality of adverse events reported ,and reduce the workload of regulatory authorities,eventually ensure the safety and effectiveness of diagnostic reagents.@*METHODS@#The pre-filtering risk assessment system based on BP neural network was used to evaluate the adverse events of diagnostic reagents.According to the evaluation results,the administrative supervision departments took corresponding countermeasures.@*RESULTS@#The BP neural network learned the historical data,and the risk evaluation results of the adverse events were basically consistent with the expert group.@*CONCLUSIONS@#BP neural network can be used to evaluate the risk of adverse events and achieve risk signal aggregation of adverse events.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Redes Neurais de Computação
/
Medição de Risco
/
Indicadores e Reagentes
Tipo de estudo:
Estudo diagnóstico
/
Estudo de etiologia
/
Estudo prognóstico
/
Fatores de risco
Idioma:
Chinês
Revista:
Chinese Journal of Medical Instrumentation
Ano de publicação:
2019
Tipo de documento:
Artigo
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