Transactions on Computer Science and Intelligent Systems Research最新文献_第3页

A Decision Tree Model-based Study on the Grouping of Hospitalization Expenses of Type 2 Diabetes Patients in a Traditional Chinese Medicine Hospital 基于决策树模型的中医院 2 型糖尿病患者住院费用分组研究

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/7d9h3y73

Xue Zhang, Jianke Ren, Xin Wang, Lijun Liang

{"title":"A Decision Tree Model-based Study on the Grouping of Hospitalization Expenses of Type 2 Diabetes Patients in a Traditional Chinese Medicine Hospital","authors":"Xue Zhang, Jianke Ren, Xin Wang, Lijun Liang","doi":"10.62051/7d9h3y73","DOIUrl":"https://doi.org/10.62051/7d9h3y73","url":null,"abstract":"Objective To discover the case-mix approach for TCM treatment of dominant disease type 2 diabetes patients and to analyze the hospitalization expense standards for different combinations of patients to provide theoretical references for better participation of TCM hospitals in the DRG payment method as well as reasonable regulation of hospitalization expenses for TCM type 2 diabetes patients in the future. Methods Case data were collected from 1,171 patients discharged with a principal diagnosis of type 2 diabetes from September 2021 to April 2023 from a tertiary care Chinese medicine hospital in Tianjin. Univariate and multivariate stepwise regression analyses determined categorical node variables. The decision tree model was used to perform case combinations and to analyze the expense standards and weights of different groups of disease types. Results The number of days of hospitalization, conditions in admission, and whether complicated cardiovascular and cerebrovascular diseases are the main factors affecting the hospitalization expense of type 2 diabetes patients in Chinese medicine hospitals, and the decision tree model was used to group the patients to form nine groups of patient case combinations. The standard of hospitalization expense for each combination was set reasonably. Conclusion The grouping results are more satisfactory, and the grouping scheme and hospitalization expense standards can provide a scientific basis for DRG grouping, adopting differentiated expense management, and improving the medical resource efficiency in TCM hospitals.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167641","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}

引用次数: 0

Research on Dynasty Classification of Dunhuang Murals Based on Convolutional Neural Networks 基于卷积神经网络的敦煌壁画朝代分类研究

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/t1svva22

Yingdi Wan

引用次数: 0

Artificial Intelligence in Cars Powers an AI Revolution in the Auto Industry 汽车中的人工智能推动汽车行业的人工智能革命

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/zn6ecc72

Xiankun Hou

引用次数: 0

Inheritance and Innovation of Traditional Handicraft Skills based on Artificial Intelligence 基于人工智能的传统手工艺技能传承与创新

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/rc69jc38

Yaping Zhang, Dongdong He

{"title":"Inheritance and Innovation of Traditional Handicraft Skills based on Artificial Intelligence","authors":"Yaping Zhang, Dongdong He","doi":"10.62051/rc69jc38","DOIUrl":"https://doi.org/10.62051/rc69jc38","url":null,"abstract":"Today, with the strong return of traditional culture, the integration of the two will deeply affect the protection of traditional handicrafts and the field of cultural communication. The industrialized production mode has gradually replaced the labor-intensive production mode, and handicrafts have gradually faded out of the public consumption field. The brain drain is serious, and many handicrafts with a long history have no successors. Under the background of AI(artificial intelligence) empowerment, this paper combines AI with traditional handicraft skills, and makes an in-depth study on the inheritance and dissemination of traditional handicraft skills. On this basis, it further thinks about the relationship between traditional handicraft skills display and experience, and the relationship between technology and experience, and studies the change of design concept from technology-oriented to human experience-oriented in traditional handicraft skills display design, and explores the development trend of experience design concept in future traditional handicraft skills display design. Develop the path and method of innovation, protection and inheritance with the comprehensive digital virtual traditional handicraft skill framework. The integration of AI and traditional culture will inevitably broaden and upgrade the path of inheritance and innovation of traditional handicraft skills, and make it achieve new development.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167875","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}

引用次数: 0

Simulating the Influence of Time Delay on Fractional Differential Equations based on Predictor-Corrector Scheme 基于预测器-校正器方案模拟时间延迟对分数微分方程的影响

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/h8w23956

Cathy Tu

引用次数: 0

Automated Pricing and Replenishment Decision Modeling for Supermarket Vegetables 超市蔬菜自动定价和补货决策建模

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/t6g4w875

Luoyi Zheng, Zhiyan Lou

引用次数: 0

Revolutionizing Footwear Recommendations: A Data-Driven Approach Harnessing Advanced Machine Learning Techniques 革新鞋类推荐：利用先进机器学习技术的数据驱动方法

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/66n15g82

Sing Hoi Leo Zhuang

引用次数: 0

Robot Real-time Pedestrian Tracking Algorithm based on Deep Learning 基于深度学习的机器人行人实时跟踪算法

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/vw8a4124

Ziheng Qu

{"title":"Robot Real-time Pedestrian Tracking Algorithm based on Deep Learning","authors":"Ziheng Qu","doi":"10.62051/vw8a4124","DOIUrl":"https://doi.org/10.62051/vw8a4124","url":null,"abstract":"In recent years, deep learning models have greatly improved the performance of pedestrian detection and tracking. Although the accuracy of neural network-based modeling methods is high, they often require large computational and storage resource overheads, which makes them difficult to apply to robots with high resource requirements. Pedestrian tracking for robots still faces great challenges in the problems of occlusion, multi-target, and target loss. In this thesis, we focus on solving the problem of real-time pedestrian tracking by lightweight fusion of deep learning target detection models for robots, firstly, through the lightweight YOLO network, we perform pedestrian detection and feature extraction, and then we propose a Gaussian mixture model based feature matching method to construct the target pedestrian tracker, and finally, we use the PID-based control algorithm for real-time control of the robot's motion, and finally realize the real-time pedestrian Tracking. In this thesis, we validate the feature matching method based on the Gaussian mixture model on the ETH dataset, and at the same time, combined with the motion control algorithm, we carry out the actual validation, and the experimental results show that our proposed method can realize the real-time pedestrian tracking.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167610","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}

引用次数: 0

Application of Passive RFID Technology 无源 RFID 技术的应用

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/jj9h9048

Ziqing Li, Guiliang Feng

引用次数: 0

A Computational Linguistic Approach to English Lexicography 英语词汇学的计算语言学方法

Transactions on Computer Science and Intelligent Systems Research Pub Date : 2023-12-21 DOI: 10.62051/wepk6t89

Fan Yang

{"title":"A Computational Linguistic Approach to English Lexicography","authors":"Fan Yang","doi":"10.62051/wepk6t89","DOIUrl":"https://doi.org/10.62051/wepk6t89","url":null,"abstract":"Focusing on computational linguistic approaches to English linguistics, this research explores how computational methods can be applied to dissect, understand and utilise the English language. We first looked at text analysis and processing, delving into natural language processing techniques such as text categorisation, sentiment analysis and machine translation, and their application to social media and automated text processing. In the area of lexicography and semantics, we explored how techniques such as distributed word vectors, semantic role labelling and sentiment analysis can deepen our understanding of vocabulary and semantics. We highlight the importance of these techniques in natural language processing tasks such as sentiment analysis and information retrieval. In addition, we focus on cross-language comparative and multilingual research, emphasising how big data and cross-language comparative research can reveal similarities and differences between languages and their implications for global linguistics. Finally, we explore corpus linguistics and big data analytics, highlighting the richness of linguistic data and tools they provide for linguistic research. Overall, this study highlights the importance of computational linguistic approaches to English linguistics and how they have transformed the way linguistics is studied and language technology has evolved. Future research trends will continue to drive the further development of computational linguistics methods, leading to a closer integration of linguistics with big data analytics and computational methods, creating more opportunities for the future of the field of linguistics.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167442","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}

引用次数: 0