Exploration on rationality evaluation approach of drug combination medication based on sequential analysis and machine learning / 中国中药杂志
China Journal of Chinese Materia Medica
;
(24): 2356-2362, 2021.
Article
in Chinese
| WPRIM
| ID: wpr-879198
ABSTRACT
Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Technology
/
Artificial Intelligence
/
Drug Combinations
/
Machine Learning
Type of study:
Controlled clinical trial
/
Prognostic study
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2021
Type:
Article
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