The machine learning is used increasingly and widely in acupuncture prescription optimization

intelligent treatment and precision medicine

and has obtained a certain achievement. But

there are still some problems remained to be solved such as the poor interpretability of the model

the inconsistency of data quality of acupuncture research

and the clinical application of constructed models. Researches in future should focus on the acquisition of high-quality clinical and experimental data sets

take various machine learning algorithms as the basis

and construct professional models to solve various problems

so as to drive the high-quality development of acupuncture research.