2021 11th International Conference on Information Technology in Medicine and Education (ITME)最新文献

{"title":"Clinical observation of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads in treatment of knee osteoarthritis due to deficiency of liver and kidney","authors":"Xing Zhen-Long, L. Jian, Wu Shuan, Qin Zi-rong, Qiu Qing-zhong","doi":"10.1109/ITME53901.2021.00079","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00079","url":null,"abstract":"Objective: To explore the clinical efficacy of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads in the treatment of knee osteoarthritis (KOA) due to deficiency of liver and kidney. Methods: A total of 60 patients with KOA due to deficiency of liver and kidney who were admitted to No. 1 Department of Orthopedics in Hospital of Integrated Traditional Chinese and Western Medicine of Guangdong Province from June 2019 to June 2021 were selected as the study subjects and randomized into treatment group and control group based on simple random number table, 30 cases in each group. Treatment group received oral administration of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads, while control group received Imrecoxib Tablets. Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Arthritis Index (WOMAC) and Lysholm and ROM knee score scale before and after treatment, clinical efficacy after treatment, and the recurrence rate one month after treatment discontinuation were compared between two groups 4 weeks later. Results: After treatment, the overall response rate was 96.66% in treatment group, evidently higher than the 86.66% in control group, and there was significant difference (P<0.01). After treatment, VAS score, stiffness score, ADL score and WOMAC total score decreased notably after treatment in both groups (P<0.01), which decreased more significantly in treatment group than those in control group (P<0.05). After treatment, ROM score and Lysholm score increased prominently after treatment in both groups (P<0.01), which increased more significantly in treatment group than those in control group (P<0.05). Treatment group was markedly lower than control group in the recurrence rate one month after drug discontinuation, and there was significant difference (P<0.05). Conclusion: Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads for the treatment of KOA due to deficiency of liver and kidney has certain efficacy and can improve the knee function and mobility and control medical condition with good safety.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"1 1","pages":"357-363"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79989031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of the mechanism of action of stabbing and releasing blood combined with auricular acupressure in the treatment of chronic urticaria","authors":"Boyuan Wang, Fangzi Shi, Yu Shi, Xuejun Zhang, Mingxin Sun, Yanjun Wang","doi":"10.1109/ITME53901.2021.00094","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00094","url":null,"abstract":"Objectives: This study aimed to investigate the efficacy of stabbing and bleeding combined with auricular pressure in the treatment of chronic urticaria (CU) and the differential metabolites in the serum of patients before and after the treatment. Methods: Six patients with CU who met the requirements were recruited, and the changes in the degree of wind mass and itching at different time points were assessed using the Urticaria Activity Score (UAS), the Visual Analog Scale (VAS) score of pruritus intensity, and the Dermatologic Disease Quality of Life Index (DLQI). The differential metabolites in the serum of patients before and after the treatment were further analyzed using liquid chromatography-mass spectrometry duplex (LC/MS) and non-targeted metabolomics analysis. Results: Compared with baseline scores, UAS, VAS, and DLQI scores decreased significantly in six patients after the treatment, with statistically significant differences (P < 0.05). Results also suggested that stabbing and releasing blood for CU could down-regulate lysophosphatidylcholine (LPC) in patients' serum. Conclusion: The combination of piercing and bloodletting with auricular acupressure can effectively improve the life quality of CU patients through lowering LPC in serum, and thus alleviating the clinical symptoms and improving the cure rate of CU patients.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"32 1","pages":"439-445"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81186094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of neural network structure using involution operator based on particle swarm optimization for image classification","authors":"Xiang Lei, Xiaoyu Lin, Yiwen Zhong, Qixian Chen","doi":"10.1109/ITME53901.2021.00043","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00043","url":null,"abstract":"Deep neural networks have made signifi-cant progress in image classification in recent years, however good deep neural networks take a lot of hu-man labor and computational resources, and they must be developed by person with professional expe-rience. Most good deep neural networks now employ convolution operators for feature extraction, however due to convolution spatially agnostic and channel-specific, they lose their capacity to deal with diverse spaces and visual modes. As a result, this article uses a new operator involution based on the inverse con-volution operator's design principle, which is com-bined with the particle swarm optimization algorithm's (PSO) high precision and quick convergence features, as well as the variable length encoding approach. Convolution operator problems can be solved, and the most effective deep neural network structure for the image classification problem can be generated automatically. Experiments demonstrate that the neu-ral network structure created by the method presented in this study outperforms several similar algorithms in terms of recognition accuracy and number of pa-rameters generated, as well as saving a lot of time and computer resources.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"28 1","pages":"168-173"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84544757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research and development of “SMART+” pressure ulcer warning instrument and system","authors":"Shuhao Cao, Fulin Yan, Chen Zhang, Jinzhao Lu, Cheng Jiang, Wei Zhou, Xueqin Lu","doi":"10.1109/ITME53901.2021.00071","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00071","url":null,"abstract":"Purpose This paper focuses on developing a pressure ulcer warning system to help early and accurate clinical prediction of pressure ulcers. Methods The system was developed by combining pressure ulcer care technology from the nursing discipline with sensor technology from the physical discipline and data transmission technology from the computer discipline. The system contains sensor array measuring the physiological indexes and software mod-ule analyzing the data. The array of sensors will collect the level and duration of the pressure, the changes of pressurized surface temper-ature and the blood oxygen saturation. All data will upload to the software for further analyzing. Then results will output in the recep-tors showing to evaluators. Results The system can provide objective data concluding pressure, surface temperature, local blood oxy-gen saturation to the evaluators for early diagnosing pressure ulcers. But all the functions need more experimentation to prove its validity and improve it. Conclusion The “SMART+” pressure ulcer warning instrument and system has high feasibility and value for re-searching and developing.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"10 1","pages":"314-318"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87385772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OFHR: Online Streaming Feature Selection With Hierarchical Structure Based on Relief","authors":"Chenxi Wang, Xiaoqing Zhang, Jinkun Chen, Yu Mao, Shaozi Li, Yaojin Lin","doi":"10.1109/ITME53901.2021.00038","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00038","url":null,"abstract":"Hierarchical classification learning, an emerging classification task in machine learning, is an essential topic. In which various feature selection algorithms have been proposed to select informative features for hierarchical classification. How-ever, existing hierarchical feature selection algorithms consider that the feature space of data is completely obtained in advance, and neglect the uncertainty and dynamism, i.e., feature arrives dynamically in an online manner. In this paper, we present an online streaming feature selection framework with hierarchical structure. First, we apply the closeness matrix between internal nodes to the Relief algorithm, which can calculate the weights of the dynamic features. Second, significant features are dynamically selected for each internal node by considering the hierarchical relationships and feature weights between nodes in the tree structure. Moreover, we perform redundant analysis of features by calculating the covariance between features, and then obtain a superior online feature subset for each internal node. Finally, the proposed algorithm is compared with six online streaming feature selection methods on six hierarchical data sets. The experimental results prove that our algorithm can improve the classification accuracy of the classifier by 10% compared to the suboptimal algorithms, which indicates that the algorithm outperforms other comparative algorithms in hierarchical data sets.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"1 1","pages":"140-145"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82962993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the implementation path and practice of data driven university governance modernization—Taking Shandong Youth College of Political Science as an example","authors":"Zhiyong Wang, Ran Huang","doi":"10.1109/ITME53901.2021.00106","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00106","url":null,"abstract":"From the perspective of data-driven technology, this paper analyzed the practical challenges faced by colleges and universities in the process of realizing the modernization of educational governance, and summarized the implementation path and technical framework from practice, So as to provide a useful reference for colleges and universities to realize the governance modernization. Through research and summary, the implementation path mainly consist of three important components: selecting a reasonable platform architecture, improving data governance services and continuously promoting data governance operations. Finally,take Shandong Youth College of Political Science as an example to carry out practical research and display the case results of data driven governance modernization. It's proved that the implementation path of data driven university governance modernization proposed in this paper is effective.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"24 1","pages":"500-504"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81744892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Keyword-based Data Augmentation Guided Chinese Medical Questions Classification","authors":"XU Xinghao, Hu Rong, Du Guodong, Xiang Yan, Ma Lei","doi":"10.1109/ITME53901.2021.00076","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00076","url":null,"abstract":"For the existing data of medical and health questions, the majority of them are so inarticulate short texts with few terms that the text features are sparse, posing a daunting challenge to relevant classification effort. Against this background, to enlarge the terms and datasets of short tests, this paper proposes a keyword-based data augmentation algorithm, which can be used in two ways: (1) With regard to short texts featuring few terms, for the purpose of keyword expansion, keywords are extracted by topic model and trained through domain knowledge-assisted word vector model to obtain synonyms of expanded keywords, so as to expand the original keywords; (2) with regard to incomplete health questions, the synonyms are used to replace original keywords. Then the augmented samples obtained by the above two methods are sent to the classifier. As a result, the algorithm in this paper significantly improves recall, precision and macro value compared to those without data augmentation.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"46 1","pages":"341-346"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72748084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Visualization to Teach an Introductory Programming Course with Python","authors":"Zhiqi Xu, Xuewen Shen, Shengyou Lin, Fan Zhang","doi":"10.1109/ITME53901.2021.00109","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00109","url":null,"abstract":"More and more colleges have offered introductory programming courses for students from different majors, aiming to cultivate students' computational thinking skills. However, teaching introductory programming courses, especially to freshmen, remains a challenging endeavor despite a lot of research and experiments. In this paper we presented our innovative teaching strategy and its implementation both with the utilization of visualization in an introductory Python programming course. The results from our comparative teaching experiments show that visualization could benefit students a lot in learning Python programming and improving their computational thinking abilities.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"315 1","pages":"514-518"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91083402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D Forest-tree Modeling Approach Based on Loading Segment Models","authors":"Cui Zeyu, Huaiqing Zhang, Nianfu Zhu, Tingdong Yang, Liu Yang, Yuanqing Zuo, Zhang Jing, Hua-Lin Zhang, Lin-lin Wang","doi":"10.1109/ITME53901.2021.00022","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00022","url":null,"abstract":"For the difficulty of tree polymorphism 3D modeling in the stand, the paper explored a 3D forest-tree-modeling approach based on loading trunk model and branch models. The approach is combined with the characteristics of tree branch structure that calculate the branch matching points of the intersection between the branch model and the crown curve to construct the tree branch structure. In addition, branch models are adjusted to eliminate the overlapping of branch models when the adjacent trees had overlapping crowns. The 3D model of forest-tree was constructed in accordance with the growth law and morphological characteristics of forest-tree. The results showed that this approach can use a small amount of measurement data to simulate forest-tree crown of sample plot or stand.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"53 1","pages":"55-59"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91331318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MCFF: Plant leaf detection based on multi-scale CNN feature fusion","authors":"Ying Li, Zhaohong Huang, Yang Sun","doi":"10.1109/ITME53901.2021.00058","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00058","url":null,"abstract":"Plant leaf detection is one of the essential aspects of the scientific plant breeding and precision agriculture process. Manual detection requires professional knowledge of the operators, high labor costs, and long time-consuming cycles. To this end, this paper proposes a multi-scale CNN feature fusion (MCFF) to detect the Rosette plant, Arabidopsis, and Tobacco. The experimental results indicate that the mean average precision of the proposed method is higher than the traditional methods such as RetinaNet, CenterNet, and Faster R-CNN.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"25 1","pages":"246-250"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76202343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}