As medical records of traditional Chinese medicine (TCM) carry academic thought and clinical experience of famous TCM doctors

their researches are important think-tank resources to promote the discipline development of TCM

and effectively improve the clinical efficacy. With the development of information science and technology

in the face of massive data in medical records of TCM

we shall dig out hidden knowledge

thought connotation and medication regularity by using the data. Through the study of medical records

we can constantly summarize previous experience and explore academic thought. The most traditional method for analyzing TCM records data is the comprehension-based analysis method. However

due to differences in individual level and research purpose

the conclusions were highly subjective and time-consuming

with a poor promotion. The general statistical method is to establish database

or make simple analysis of symptoms and drug frequency. To quickly find academic thoughts and clinical experience of physicians from massive medical records

we need to introduce new technologies and methods

and integrate them with databases

artificial intelligence

statistics

knowledge engineering

information retrieval

high-performance computer and data visualization. From the perspective of research method

this paper introduces the personal comprehensive-based analysis method

frequency analysis method

multivariate (factor) analysis and other research methods

so as to study the application of data mining in TCM researches

and provide research methods and ideas for further summarizing and inheriting clinical experience of famous TCM doctors. The laws hidden in medical records of TCM were dug out

and will applied in scientific and technological researches and clinical researches

in order to reflect the research value of medical records of TCM.