In recent years, TCM integrative data analysis has become an important issue requiring urgent solution because of the trend of exponential growth of clinical and scientific TCM research data. This article analyzed the necessity and problems of TCM integrative data analysis from the aspects of background and significance of TCM integrative data, status analysis, data visualization, and application prospect, and put forward the idea of applying data visualization method to data integrative analysis, with a purpose to provide new angles for the reasonable application of TCM data resources.

ObjectiveTo assess China’s newly evolved hot spots and novelty of structural electronic medical record in TCM field.Methods Articles about electronic medical record in TCM field were retrieved from CNKI from January 2000 to December 2015, focusing on researchers, research institutes, and key words for bibliometric analysis. Then visualization software CiteSpace was used to establish co-occurrence network.ResultsThe top 3 productive authors were LIU Bao-yan (13 articles), ZHANG Run-shun (8 articles), XIE Qi (7 articles), and ZHOU Xue-zhong (7 articles). Institutes highly cooperated with others included China Academy of Chinese Medical Sciences, Information Engineering College of Hubei University of Chinese Medicine and The First Affiliated Hospital of Henan University of Chinese Medicine. The major clusters were TCM diagnosis (#0), China’s TCM information (#1), artificial intelligence (#2), medical record management (#3), and medical laboratory department (#4). The representative keywords involved electronic medical record, TCM hospital, data mining, telemedicine, and artificial intelligence. ConclusionIn the field of TCM electronic medical record, cooperation is not sufficiently facilitated among researchers and institutes. Research hot spots are not formed and novelty is not obvious, which is probably because of the overall status quo for China’s TCM information construction.

Objective To compare the effect of different sources extracted scutellaria (Hebei, Shanxi and Dalian) on the death-protection and inhibition of FM1 infected mice. Method As animal model, FM1 infected mice was treated an hour after infection. Indexes including mortality, average survival time, lung index were observed to evaluate the effect of different sources extracted scutellaria on anti-influenza virus. Result Different sources extracted scutellaria reduced mortality (P

Objective To observe the effectiveness of treating essential thrombocytosis(ET) with Buyang Huanwu Decoction plus hydroxyurea. Methods 120 patients with ET were randomly divided into observation group(OG) and control group(CG). Patients from OG were treated with Buyang huanwu decoction plus hydroxyurea, while those from CG were given hydroxyurea. After 6 months, the treatment effectiveness indexes including symptoms in a sense of chinese medicine, cell counts and saffy were observed. Results Total effective rate of OG was higher than that of CG(P<0.05). TCM symptoms remission in OG group was better than that of CG(P<0.05). After treatment, blood platelet count and megakaryocyte count were decreased in two groups(P<0.05), and the difference between two groups was signiifcan(P<0.05). Conclusion The therapy combined Chinese and western medicine deals with ET is better than simple western medicine treatment.

BACKGROUND: Uncoupling of major histocompatibility complex (MHC) is the main cause for transplantation rejection, and it is the best way to prevent transplantation rejection by induce immunological tolerance of the recipient to the donor organ. Self-tolerant T cells can be obtained by negative selection in thymus, whether the intrathymic injection of allogenic antigen can get the immunological tolerance to the antigen?OBJECTIVE: To observe the effects of intrathymic injection of allogenic antigen on inducing immunological tolerance in nerve transplantation.DESIGN: A comparative observation.SETTINGS: Department of Immunology, Harbin Medical University; Department of Orthopaedics, Fourth Clinical Hospital of Harbin Medical University.MATERIALS: Thirty donor C57BL/6 mice (H-2b), male, aged from 6-8 weeks, weighing 18-22 g, were purchased from the Veterinarian Institute of Heilongjiang Province; While 60 recipient Balb/c mice (H-2b) female, aged from 6-8 weeks, weighing 18-22 g, from Beijing Experimental Animal Center. MHC (H-2b) antigen was prepared by the Department of Immunology, Harbin Medical University, and the concentration of protein was 4.4 g/L.METHODS: The experiments were carried out in the Department of Immunology, Harbin Medical University from June to November 2002. The recipient Balb/c mice were randomly divided into four groups: intrathymic injection group, syngenic transplantation group, allogenic transplantation group and immunosuppressant drug group. MHC (H-2b) antigen was extracted from splenic cells of donor C57BL/6 mice and injected intrathymically into recipient Balb/c mice (H-2d). Two weeks later, the sciatic nerve was transplanted to the recipient mice. Mixed lymphocyte reaction and delayed-type hypersensitivity (DTH) were detected at 3 weeks after transplantation.MAIN OUTCOME MEASURES:The differences of mixed lymphocyte reaction and DTH were compared among the groups.RESULTS: All the 30 donor C25BL/6 mice (H-2b) and 60 recipient Balb/c mice (H-2d) were involved in the analysis of results.①Results of mixed lymphocyte reaction: The cell proliferations in the syngenic transplantation group and intrathymic injection group were obviously lower than that in the allogenic transplantation group [(546.1±75.1), (2 668.3±533.8), (3 101.3±429.1), (4 312.3±534.1) minutes-1, P＜0.05].②Results of DTH: The thicknesses difference between two pads in the syngenic transplantation group and intrathymic injection group were obviously lower than that in the allogenic transplantation group [(41.1±3.7), (72.1±5.1), (57.6±11.3), (86.2±13.2)μm, P＜0.05].CONCLUSION:The intrathymic injection of donor H-2b antigen could induce immunological tolerance of nerve transplantation.

Objective To observe the clinical efficacy of HMME-SDT therapy for the treatment of hypertrophic scar (HS) of rabbit ear.Methods 60 white rabbits were randomly divided into five groups.The model group and HMME-SDT treatment group were used to establish the models of hypertrophic scar in ears.Results The effect of HMME-SDT on the fibroblastic density in the hypertrophic scarring models was observed in rabbit ears.The HMME-SDT could lower the fibroblastic density,compared with the model group,with significant difference (P＜ 0.05).The effect of HMME-SDT on the collagen area density was noted in the hypertrophic scarring models in rabbit ears.The HMME-SDT could lower the collagen area density,compared with the model group,with significant difference from the fourth week of the epithelialization (P＜0.01).Conclusions HMME is an effective sonosensitizer.HMME-SDT can significantly inhibit hypertrophic scar of rabbit ear.

Radar map is one of visual processing tools for multi-dimensional data and is currently used in many fields.Based on the analysis of radar maps' current applications, it is discovered that the applications of radar maps mainly focus on two aspects, the multi-dimensional data visualization and artificial intelligence analysis, which may be used as entry points to introduce radar maps into the research area of Traditional Chinese Medicine(TCM).When using radar maps for TCM data visual expression,the data needs to be processed according to its condition,including the ratio adjustment and weighted conversion processing.According to the modeling method of radar maps,this paper took a group of TCM clinical research data as an example to conduct the data visualization of radar maps and case analysis.In the aspect of artificial intelligence analysis of multi-dimensional data,radar map can be used for conducting qualitative and quantitative charts of data, and combining the image information feature recognition technology radar map can be used for data classification.Based on the characteristics of radar map,the prospect of using radar map for artificial intelligence analysis on TCM multi-dimensional data was discussed and expected.

The "pre-disease" theory of traditional Chinese medicine focuses on the dynamic and continuous evolution from health to disease, and emphasizes early identification and intervention in the complex and gradual process of evolution from health to disease. The "pre-disease" theory and complexity science share the same perspective on health and disease from the standpoint of features of the dynamic evolution and holism, i. e., life is considered as a complex system with ongoing dynamic changes, which exhibit the nonlinear features of " homeostasis-destabilization-phase transition-another homeostasis". In this paper, from the perspective of nonlinear dynamics in complexity science, we explain the scientific connotation of the evolution law of "pre-disease"-disease based on the theory of critical slowing down in traditional Chinese medicine. Based on the theory of critical slowing down and the dynamic network biomarker method generated by its development, combined with the macro signs of comprehensive analysis of data gained by four diagnostic method and the micro features including transcriptomics and the microbiomics, this paper proposes to integrate macro and micro multi-hierarchy information to construct a "pre-disease" critical slowing down identification model with the characteristics of traditional Chinese medicine diagnosis and treatment, which provides a new perspective and method for the early warning of complex diseases.

Objective To explore the methods of automatic identification of TCM terminology and to ex-pand the forms of natural language processing in TCM documents.Methods Based on the methods of conditional random field( CRF) , annotation and automatic identification on terms of symptoms, diseases, pulse-types and prescriptions recorded in Shanghan Lun as the research subjects, the effects of different combinations of the features, such as Chinese character itself, part of speech, word boundary and term category label, on identification of terminology were analyzed and the most effective combination was selected.Results The TCM terminology automatic identification model, combining with the features of Chinese character itself, part of speech, word boundary and term category label, had the precision of 85.00%, recall of 68.00%and F score of 75.56%.Conclusion The multi-features model of combi-nation of Chinese character itself, part of speech, word boundary and the term category label achieved the best identifying result in all combinations.

We strive to explore a student-centered evaluation system focused on improving students' learning efficiency and learning effect. Through classroom questioning, discussion of difficult cases, new progress report, question bank test, writing of clerkship notes, simulated inquiry between students with bedside inquiry, physical examination between students with bedside physical examination, operation training of basic clinical skills, direct observation and evaluation of clinical skills, mini-clinical exercise evaluation, graduation examination and other measures, an evaluation system for promoting learning by class evaluation, clerkship evaluation and practice evaluation has been established to cultivate the connotation construction of medical moral quality and clinical practice ability of medical students, and further promote the mastery of basic theoretical knowledge and clinical operation skills. By comparing the results of the phased examination for medical practitioners, the passing rate of 2018 is significantly higher than that of 2017, with 23.31% increased passing rate of theoretical results, and 0.79% increased passing rate of skills operation results. It can be seen that the evaluation system for promoting learning has played a guiding role in the teaching practice of clinical courses in our hospital.