Signal mining for adverse drug reactions based on healthcare big data: methodology and applications
10.3760/cma.j.issn.1000-6672.2017.05.016
- VernacularTitle:基于医药大数据的药品不良反应信号挖掘探讨
- Author:
Xia ZHAO
;
Yao CHEN
;
Jun LIAO
;
Feng YU
;
Sheng LIN
- Keywords:
Adverse drug reaction;
Healthcare big data;
Signal mining;
Machine learning technology;
Deep learning technology
- From:
Chinese Journal of Hospital Administration
2017;33(5):373-376
- CountryChina
- Language:Chinese
-
Abstract:
This paper presented the conventional methods for signal detection of adverse drug reactions (ADRs) and their applications, the research progress in ADRs signal mining based on healthcare big data, and briefed the methods and uses of ADRs prediction using machine learning technology in the era of healthcare big data.The conclusion was that deep learning, as a fast growing tool in machine learning, will become hotspot of research, expected to help with ADRs signal mining and rational clinical drug use.
