Research Of Intelligent Methods On Establishment And Application Of TCM Diagnosis And Treatment Criteria

At present, information technology and intelligence methods have gained rapid development, and they facilitate greatly the standardized and normalized process for their broad applications in many professions and fields. As a treasure of Chinese medical science, Traditional Chinese Medicine(TCM) has a history of thousands of years, and has been gradually formed a kind of medical science with a unique architecture of medical theory and rich experience on treatment. However, for its high dependency on experience, TCM is still lack of the criteria for diagnosis and treatment, such as the criteria for syndrome diagnosis and the indicator architecture for evaluation of treatment efficacy. Aiming to solve the problem mentioned above, the author adopts AI and systems engineering as the method of research, tries to dive into foundational theory about the criteria for TCM diagnosis and the method for evaluation of treatment efficacy. It's important for TCM to establish the criteria for diagnosis and the indicator architecture for evaluation of treatment efficacy.By this means, it can be easily done that the formalized representation of the semantics in TCM syndrome and the integration of service-oriented TCM applications on distributed platforms. Supported by an issue of 973 plans with title of "Foundational Research on Dialectical Evaluation for the Efficacy of Pneumonic Diagnosis and Treatment", this dissertation makes a deep research into the intelligence methods and application technologies on the establishment of criteria for TCM diagnosis and the indicator architecture for evaluation of treatment efficacy.The main work can be summarized as following four aspects:1. Proposes an algorithm namely R_Apriori, which provides a way for establishing the criteria for TCM syndrome diagnosis and the indicator architecture for evaluation of treatment efficacy from mass clinical data.2. Provides an ordinary process for the establishment of the criteria of TCM diagnosis and the indicator architecture for evaluation of treatment efficacy, and then, takes pneumonia in middle-aged and old patients as an example, establishes the criteria of TCM pneumonic diagnosis and the indicator architecture for evaluation of pneumonic treatment efficacy.3. Constructs the ontology for TCM syndrome and its hierarchically conceptual structure, and proposes an axiom architecture which consists of basis axioms, diagnostic axioms and evaluation axioms for treatment.4. Implements semantic annotation and semantic reasoning on the services of TCM diagnosis and treatment, and builds an application system for the mining of TCM syndrome and the treatment based on ontology and Web services.The innovation of this dissertation can be concluded as the following four points:1. Proposes an improved algorithm for associated rules namely R_Apriori, which would promote the running efficiency of data mining, and guarantee the validity of results.2. Builds the criteria for diagnosis of TCM syndrome and the indicator architecture for evaluation of TCM treatment efficacy, with the help of various intelligent methods.3. Proposes the concept of TCM syndrome ontology, and builds the hierarchical structure and the axioms for the ontology.4. Provides semantic annotation for the fine-grained Web services of TCM diagnosis and treatment, and then, semantic reasoning of these services can be realized with the help of both description logics and rules.The following results can be concluded from this research and its applications:The methods and the criteria proposed by this dissertation have been verified in practical applications from many hospitals, which provide theoretical and methodological support for 973 research subject. It would be turned out that putting intelligent methods into the establishment of criteria for TCM diagnosis, can solve the problem of normalization, and it provides a new idea for the criteria for TCM diagnosis and reference to standardization of TCM conception. Through building a service-oriented applications integration distributed platforms towards both medical employees and the public, TCM knowledge can be acquired and shared, and scientific basis can be provided for TCM transferring.