Objective: To develop a neural network model that recommends traditional Chinese medicine (TCM) herbal prescriptions. Methods: We constructed a new dataset of diagnosis and treatment knowledge from the Treatise on Febrile Diseases. Based on TCM's logical principles of “syndrome differentiation” and “state recognition”, a back-propagation neural network model is proposed that simulates clinical diagnosis and treatment. Results: The proposed model is a four-layer BP neural network. Experiments on the constructed dataset show that the proposed method achieved the best precision, recall, and F1-scores. Conclusion: The proposed method provides much more accurate herbal prescription recommendations than logistic regression.
{"title":"Neural Network-Based Prescription of Chinese Herbal Medicines","authors":"Wen Zhao, Weikai Lu, Changen Zhou, Zuoyong Li, Haoyi Fan, Xuejuan Lin, Zhaoyang Yang, Candong Li","doi":"10.1109/ITME53901.2021.00084","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00084","url":null,"abstract":"Objective: To develop a neural network model that recommends traditional Chinese medicine (TCM) herbal prescriptions. Methods: We constructed a new dataset of diagnosis and treatment knowledge from the Treatise on Febrile Diseases. Based on TCM's logical principles of “syndrome differentiation” and “state recognition”, a back-propagation neural network model is proposed that simulates clinical diagnosis and treatment. Results: The proposed model is a four-layer BP neural network. Experiments on the constructed dataset show that the proposed method achieved the best precision, recall, and F1-scores. Conclusion: The proposed method provides much more accurate herbal prescription recommendations than logistic regression.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"51 1","pages":"390-393"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85096634","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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00026
Zhaoyang Zhao, Jianwei Ma, Chao Ma, Yuzhu Wang
Pedestrian detection is an important branch of computer vision and has been the focus of research due to its wide range of applications. Although commonly used object detection model Faster R-CNN has achieved good results. However, there are still some shortcomings in the specific task of detecting pedestrians. This paper made three improvements to the Faster R-CNN to better adapt it to the pedestrian detection task. First, we did a lot of experiments and finally chose MobileNetv2 as our backbone network. Second, we designed a multi-branch feature pyramid network (M-FPN), which is used to better integrate the model's shallow feature information with the deep feature information improved the model's ability to detect pedestrians. Finally, an attention region proposal network SE-RPN is used to improve the model's ability to focus on pedestrian features and suppress attention to background interference features. The experimental results show that the improvement strategy proposed in this paper has achieved better results. These strategies improve the average accuracy of Faster R-CNN on our self-built dataset by 6.14% and the detection speed by 27fps. The AP on Caltech dataset reaches 87.01%, and the detection speed can achieve 39.4fps.
{"title":"An Improved Faster R-CNN Algorithm for Pedestrian Detection","authors":"Zhaoyang Zhao, Jianwei Ma, Chao Ma, Yuzhu Wang","doi":"10.1109/ITME53901.2021.00026","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00026","url":null,"abstract":"Pedestrian detection is an important branch of computer vision and has been the focus of research due to its wide range of applications. Although commonly used object detection model Faster R-CNN has achieved good results. However, there are still some shortcomings in the specific task of detecting pedestrians. This paper made three improvements to the Faster R-CNN to better adapt it to the pedestrian detection task. First, we did a lot of experiments and finally chose MobileNetv2 as our backbone network. Second, we designed a multi-branch feature pyramid network (M-FPN), which is used to better integrate the model's shallow feature information with the deep feature information improved the model's ability to detect pedestrians. Finally, an attention region proposal network SE-RPN is used to improve the model's ability to focus on pedestrian features and suppress attention to background interference features. The experimental results show that the improvement strategy proposed in this paper has achieved better results. These strategies improve the average accuracy of Faster R-CNN on our self-built dataset by 6.14% and the detection speed by 27fps. The AP on Caltech dataset reaches 87.01%, and the detection speed can achieve 39.4fps.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"28 1","pages":"76-80"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87974102","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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00060
Xining Huang, Zhenchang Zhang, Jiaxiang Lin, DanDan Bai
Majority voting outlier detection is a traditional method that has been widely used in many fields. It uses the strategy of majority vote to make a prediction, which makes it perform poorly in acc index sometimes. In this paper, a method called second anomaly detection (SAD) is proposed, to detect the connection of outlier scores between each other and decide the advantage strength of a sample when defining the outlierness, which is expressed as $a$ factor, then the prediction label of a sample is ascertained according to the a value. Finally, SAD is compared with several majority voting anomaly detection algorithms in accuracy performance, such as iForest, HBOS, AutoEncoder, it is shown that the proposed algorithm SAD is effective.
{"title":"SAD: A novel method for ensemble outlier detection with dynamic prediction label","authors":"Xining Huang, Zhenchang Zhang, Jiaxiang Lin, DanDan Bai","doi":"10.1109/ITME53901.2021.00060","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00060","url":null,"abstract":"Majority voting outlier detection is a traditional method that has been widely used in many fields. It uses the strategy of majority vote to make a prediction, which makes it perform poorly in acc index sometimes. In this paper, a method called second anomaly detection (SAD) is proposed, to detect the connection of outlier scores between each other and decide the advantage strength of a sample when defining the outlierness, which is expressed as $a$ factor, then the prediction label of a sample is ascertained according to the a value. Finally, SAD is compared with several majority voting anomaly detection algorithms in accuracy performance, such as iForest, HBOS, AutoEncoder, it is shown that the proposed algorithm SAD is effective.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"24 1","pages":"257-260"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84625628","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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00062
Min Huang, Lizhen Ye, Junze Chen, Rurui Fu, Changle Zhou
Meditation has been shown as an efficient way to promote human well-being. Most studies focused on meditation in sitting posture. However, meditation in walking posture was rarely studied. In order to identify these two meditation states (i.e., sitting and walking), we proposed a classification framework by leveraging different features extracted from the EEG signals and the random forest classifier. This study first investigated different single-modal features, including original power, power ratio, and non-linear dynamics. Further, we also concatenated all the single-modal features into a multi-modal feature. The experimental results show that the original power feature is better than the non-linear dynamics feature in meditation state classification. Moreover, the multi-modal feature outperforms all the single-modal features and can identify sitting and walking meditation with high accuracy.
{"title":"Feature Representation for Meditation State Classification in EEG Signal","authors":"Min Huang, Lizhen Ye, Junze Chen, Rurui Fu, Changle Zhou","doi":"10.1109/ITME53901.2021.00062","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00062","url":null,"abstract":"Meditation has been shown as an efficient way to promote human well-being. Most studies focused on meditation in sitting posture. However, meditation in walking posture was rarely studied. In order to identify these two meditation states (i.e., sitting and walking), we proposed a classification framework by leveraging different features extracted from the EEG signals and the random forest classifier. This study first investigated different single-modal features, including original power, power ratio, and non-linear dynamics. Further, we also concatenated all the single-modal features into a multi-modal feature. The experimental results show that the original power feature is better than the non-linear dynamics feature in meditation state classification. Moreover, the multi-modal feature outperforms all the single-modal features and can identify sitting and walking meditation with high accuracy.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"10 1","pages":"267-270"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89695723","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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00045
Zhongwei Qiu, Hongbo Zhang, Qing Lei, Jixiang Du
Skeleton-based human action recognition has received extensive attention due to its easy access to human skeleton data. However, the current mainstream skeleton-based action recognition methods have more or less the problem of overlarge parameters, which makes it difficult for these methods to meet the requirements of timeliness and accuracy. To solve this problem, we improve attention-enhanced adaptive graph convolutional neural network (AAGCN) to obtain a high-precision improved AAGCN (IAAGCN), and use it as teacher model to conduct knowledge distillation of our lightweight IAAGCN (LIAAGCN). The results of the tests on the NTU-RGBD dataset are validated by knowledge distillation to allow LIAAGCN to maintain good accuracy while keeping the parameters small.
{"title":"Knowledge Distillation based Lightweight Adaptive Graph Convolutional Network for Skeleton-based action recognition","authors":"Zhongwei Qiu, Hongbo Zhang, Qing Lei, Jixiang Du","doi":"10.1109/ITME53901.2021.00045","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00045","url":null,"abstract":"Skeleton-based human action recognition has received extensive attention due to its easy access to human skeleton data. However, the current mainstream skeleton-based action recognition methods have more or less the problem of overlarge parameters, which makes it difficult for these methods to meet the requirements of timeliness and accuracy. To solve this problem, we improve attention-enhanced adaptive graph convolutional neural network (AAGCN) to obtain a high-precision improved AAGCN (IAAGCN), and use it as teacher model to conduct knowledge distillation of our lightweight IAAGCN (LIAAGCN). The results of the tests on the NTU-RGBD dataset are validated by knowledge distillation to allow LIAAGCN to maintain good accuracy while keeping the parameters small.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"16 1","pages":"180-184"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74689267","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}
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.
{"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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00079
Xing Zhen-Long, L. Jian, Wu Shuan, Qin Zi-rong, Qiu Qing-zhong
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.
{"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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00043
Xiang Lei, Xiaoyu Lin, Yiwen Zhong, Qixian Chen
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.
{"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}
Pub Date : 2021-11-01DOI: 10.1109/itme53901.2021.00002
{"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}
Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00106
Zhiyong Wang, Ran Huang
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.
{"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}
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