In order to ensure the correctness of Chinese medicine diagnosis

in addition to the accuracy and objectivity of the single diagnosis information

it is more important to integrate the four diagnosis. The research on the objective collection and analysis system of the four diagnosis information of traditional Chinese medicine has made breakthroughs

laying a foundation for the research on the fusion of objective information of the four diagnosis. However

the classification criteria of different diagnosis equipment are not uniform

and the sources of information are different

which restricts the integration of the four diagnosis. In this paper

by combing the research on the intellectualization of four diagnosis of traditional Chinese medicine in recent years

including inspection

listening and smelling

inquirying

and pulse diagnosis

and combining the current status of the research on intellectualization of the four diagnosis integration in its initial stage

an attempt is made from the perspective of multi-source data fusion

with the help of collaborative training method

multi-core learning method

and subspace-based learning method to improve the integration and accuracy of the four diagnosis integration

and explore the possible path for intelligentization of the four diagnosis integration.