Application Status of Artificial Neural Network Technology in Clinical Pharmacy

Abstract

With the development of society and the progress of science and technology, human beings pay more and more attention to life and health issues, and the safety of medication is no exception. Clinical medicine is a basic subject in the medical field. At the same time, in order to better meet clinical needs, artificial neural network technology is also attracting attention in the medical field. Artificial neural network is a product of highly integrated and intelligent information in the new era. It is the most widely used in many fields and has great potential, especially in the biological field. In recent years, neural networks have been widely used in the field of pharmacy, providing effective data methods for clinical pharmacy data analysis, model construction, and real-time control. This article uses experimental analysis and data analysis to better understand the predictive performance of artificial neural network technology in drug analysis, so as to explore its application in clinical pharmacy. According to the experimental results, the correlation coefficients of the experimental samples calculated by the artificial neural network are higher than those obtained by the binary regression, and the prediction results of the drug analysis by the artificial neural network are significantly better than the results of the binary regression.