机器学习赋能的毒品检测技术的研究进展OA

With the continuous development of drug detection technologies,there has been a growing variety of detection methods with increasingly high sensitivity.However,drug types are updating at an ever-faster pace,and existing detection technologies still have limitations in identifying trace drugs,drugs in complex matrices,and newly emerging drugs.Against the backdrop of accelerated global digital and intelligent transformation,machine learning has been effectively applied in numerous fields.Boasting excellent predictive and decision-making capabilities,machine learning,when combined with traditional drug detection technologies,can enhance the detection capacity for complex drug samples,compensate for the shortcomings in existing drug detection techniques,and provide more efficient technical means for drug detection.This paper introduced the machine learning algorithms commonly used in drug detection,reviewed the research progress of traditional drug detection technologies empowered by machine learning,and prospected the application prospects in this field,aiming to provide references for the future development of drug detection technologies.