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

{"title":"11th International Conference on Information Technology in Medicine and Education","authors":"","doi":"10.1109/itme53901.2021.00002","DOIUrl":"https://doi.org/10.1109/itme53901.2021.00002","url":null,"abstract":"","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87270383","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":"Skeleton Based Action Quality Assessment of Figure Skating Videos","authors":"Huiyong Li, Qing Lei, Hongbo Zhang, Jixiang Du","doi":"10.1109/ITME53901.2021.00048","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00048","url":null,"abstract":"Action quality assessment(AQA) aims at achieving automatic evaluation the performance of human actions in video. Compared with action recognition problem, AQA focuses more on subtle differences both in spatial and temporal dimensions during the whole executing process of actions. However, most existing AQA methods tried to extract features directly from RGB videos through a 3D ConvNets, which makes the features mixed with useless scene information. To overcome this problem, We propose a deep pose feature learning AQA method that captured detailed and meaningful representations for skeleton information to discover the subtle motion difference of AQA problem. We first apply pose estimation method to obtain human skeleton data from RGB videos. Then a spatio-temporal graph convolutional network (ST-GCN) is employed to extract the dynamic changes of skeleton data and obtain the representative pose features. Finally, a regressor composed of three fully connected layers is developed to reduce the dimension of the obtained pose features and predict the final score. Experiments on MIT figure skating dataset have been extensively conducted, and the results demonstrate that the proposed method has achieved improvements that outperformed current state-of-the-art methods.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"64 1","pages":"196-200"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90428058","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":"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":"Construction Path Exploration on the External Practice Teaching Bases under the Background of New Engineering","authors":"Zhong-hua Luo","doi":"10.1109/ITME53901.2021.00130","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00130","url":null,"abstract":"The external practice teaching bases for college students is an important mode for collaborative education between universities and enterprises. During the process of talent training in applied universities, the external practicing and teaching plays a key role in promoting students to consolidate professional knowledge, improving engineering practical ability and innovation ability, and cultivate new engineering talents urgently needed for enterprises. In view of the problems existing in the construction of external practicing and teaching bases, combined with professional characteristics and enterprise needs, the strategies of practical teaching bases construction and management are discussed in the paper. The practice of bases construction in recent years has shown that students' engineering practical ability, teamwork ability and employment competitiveness have been significantly improved, and the quality of practical teaching has been steadily improved, which provides a valuable reference for innovating practical teaching reform in application-oriented universities.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"34 1","pages":"614-617"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79288827","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":"Analysis of a Worm Virus Propagation Model Based on Differential Equation","authors":"Yu Xiehua, Li Shaozi","doi":"10.1109/ITME53901.2021.00057","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00057","url":null,"abstract":"The reasonable design of worm propagation model can provide a basis for accurately predicting and analyzing the propagation law and mechanism of worm malicious code in the Internet, and help to further carry out the research on worm protection, detection and suppression technology. This paper introduces the transmission model of infectious diseases in the field of biopathology to analyze the transmission mechanism of network worms, and a class of network worm virus transmission model based on differential equations is established by using LaSalle invariant set principle and orbital stability theory of differential equations. The results show that the basic regeneration number is the threshold value of eliminating worm virus and keeping worm virus in a certain range. When the basic regeneration number is less than or equal to 1, worm virus is eliminated effectively. When the basic regeneration number is greater than 1, the worm virus will persist or stabilize in a certain state.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"21 1","pages":"242-245"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73801056","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":"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":"Smart Education Under 5G+","authors":"Weikuan Jia, Xiaojie Li, Wenhui Huang, Hong Wang, Yuanjie Zheng, Haipeng Wang, Zhongyang Mao, Tiantian Tang","doi":"10.1109/ITME53901.2021.00123","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00123","url":null,"abstract":"As the latest generation of cellular mobile communication technology, 5G is profoundly changing our production and life, and the education industry is also facing changes and challenges. This article combines outstanding information such as high-speed data transmission rate, ubiquitous network, low latency, low energy consumption, and Internet of Everything of the 5th generation mobile communication technology, combining artificial intelligence, virtual reality, Internet of Things, cloud computing, big data and other popular information technologies. The application of technology in education has analyzed the coming of the era of “5G +”, which will have a profound impact on the educational cause. It will make educational wisdom, digitization, teaching models and teaching methods will continue to be innovative.5G integration of IT will make a series of smart education ideas such as virtual laboratory, virtual assistant, online live teaching, remote control, and smart campus become a reality. Finally, this article reflects on the challenges faced by the roles involved in the education industry such as students, teachers, and schools in the era of smart education and how to deal with them. All parties work together to look forward to the bright future of smart education.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"20 1","pages":"582-585"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78568284","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}