order to remove the face, lips, teeth and other parts of
the image (Lv 2016), the model of Snakes to split the
tongue was used (Wang 2003, Jain 1996, Qin 2010),
HIS space conversion of the image was proposed
(Zhao 1999), while other people proposed the
splitting and merging method (Wang 2005).
3.3 Application and Practice of AI in
Chinese Medicine Prescription
The prescriptions of traditional Chinese medicine on
the feasibility of constructing intelligent computing
model is analyzed(Ren 2012), the realization of key
technology points were summed up, on the basis of
set up intelligence technology platform, design the
strict treatment prescriptions of traditional Chinese
medicine model, determines the prescription data
source, data preprocessing, prescription treatment
prescriptions and data modeling test, the system
debugging and the result analysis and so on. The
framework of TCM prescription analysis system
based on the existing TCM prescription data
resources and TCM prescription analysis system was
proposed (Zhu 2014), which supported by
information methods and technologies such as
artificial intelligence data mining and centering on
TCM prescription data. An in-depth investigation of
the application of artificial intelligence senses such as
electronic tongue, electronic nose, electronic eye,
electronic ear and electronic skin in the field of TCM
was made (Liu 2016), and their applications of
qualitative and quantitative identification of TCM,
drug quality control, processing process evaluation
were widely introduced. The feasibility of horizontal
combination of artificial intelligence sensory multi-
technology and vertical combination of modern
analytical technology in pharmaceutical field was
analyzed.
3.4 Application and Practice of AI in
Acupoints Compatibility
A management system of TCM acupoints
compatibility was designed and developed (Liu
2016), and the law of TCM acupoints compatibility
through AI was revealed. Firstly, she analyzes the
existing database and completed the TCM
acupuncture points management system requirements
analysis, summarizes the primary insomnia and
gastroparesis two diseases of optimization, and
compatibility of the law to obtain the most suitable
for intelligent optimization algorithm of map
acupoints compatibility of the law, through the
acupoints compatibility of TCM management system
of gastroparesis and the simple processing of the data
of primary insomnia, provide accurate data for
Chinese medicine acupoints compatibility relation
graph. The apriori algorithm is used to generate
frequent item sets, support degree and confidence
degree of acupoints compatibility, forming
association rules. The apriori algorithm is further
optimized and the Apriori-GA algorithm model of
TCM acupoint compatibility management system is
established. Secondly, combining the practical
application of TCM acupoints compatibility
management system with the theoretical knowledge
of Apriori-GA algorithm, the software package was
written by MATLAB. Based on the data of
gastroparesis and primary insomnia in the TCM
acupoints compatibility management system,
association rules were generated and MCODE
algorithm was integrated to develop the TCM
acupoints compatibility relation map drawing system.
Finally, through continuous testing and improvement,
the system can draw the relationship map of TCM
acupoints compatibility.
3.5 Application and Practice of AI in
"Four Diagnoses"
Some people deeply studied the practice and practice
of advanced information technology in the "four
diagnosis" of TCM (Long 2019, Gao 2007, Tian
2010, Yan 2009). First, in the realm of biomedical
engineering, face recognition technology and iris
recognition technology are relatively mature. In the
future, they will be gradually used as scientific
research tools in the realm of TCM diagnostics, with
extensive application fields. The facial image
tracking model and skin color tracking model are
simple and effective. The eigenvector method is
effective in determining the size, position, distance,
Angle and other attributes of the facial contour of iris,
nasal wing, and muzzle Angle, analyzing the
corresponding geometric features, and distinguishing
the iris changes of various patients. Second, the
electronic stethoscope technology is an effective
assistant to the aural diagnosis of TCM. Through the
comparison and analysis with human olfaction and
chemical examination, the electronic nose technology
can realize the real-time control of olfaction well.
Thirdly, intelligent sensor technology can realize
digital medical diagnosis of TCM palpation and
obtain more accurate pulse diagnosis information.
Fourth, modern information technology is more
objective and comprehensive to patients' disease
status, evolution trend, past medical history, living
habits.