Research progress of the application of machine learning in the reproductive field of traditional Chinese and western medicine
With the rapid development of precision medicine and big data,the impact of artificial intelligence(Al)in the healthcare industry is gradually expanding.Machine learning(ML)algorithms has made substantial progress in the reproductive field.ML can apply unsupervised deep learning to the diagnosis and treatment of diseases in the reproductive field of traditional Chinese and western medicine,which can help clinicians diagnose reproductive diseases more accurately,with more personalized treatment,and help patients better predict personal fertility.In this paper,we will review the latest application advances of ML in the reproductive field of traditional Chinese and western medicine,and discuss the current problems and development direction of ML.
Machine learningTraditional Chinese and western medicineReproductive medicine
万方数据
维普
