Deep learning is a branch of artificial intelligence in the field of machine learning,its application process does not need a lot of feature extraction of domain-specific knowledge to obtain data features that are difficult to extract in traditional ways.It can perform complex data analysis more efficiently and accurately than traditional machine learning.At present,deep learning has been preliminarily developed in the field of traditional Chinese medicine,and has achieved remarkable results in assisting traditional Chinese medicine diagnosis,constructing traditional Chinese medicine diagnosis model,and medical case data processing.Based on the advantages of deep learning in speech recognition,data image processing and natural language understanding,combined with its application status in traditional Chinese medicine research,this paper discusses the development prospects and current problems of deep learning.It is believed that in the future process of the integration of deep learning and traditional Chinese medicine,attention should be paid to the performance level of algorithm models and the quantity and quality of data samples.It is an urgent problem to provide a standardized traditional Chinese medicine professional database for the development of deep learning.
关键词
深度学习/中医学/机器学习/算法模型/大数据
Key words
Deep learning/Traditional Chinese Medicine/Machine learning/Algorithm model/Big data
维普
万方数据