Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences最新文献

Research Progress of User Portrait Technology in Medical Field 用户画像技术在医学领域的研究进展

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3501016

Meng Gao, Yan Zhang, Yue Gao

{"title":"Research Progress of User Portrait Technology in Medical Field","authors":"Meng Gao, Yan Zhang, Yue Gao","doi":"10.1145/3500931.3501016","DOIUrl":"https://doi.org/10.1145/3500931.3501016","url":null,"abstract":"In recent years, due to the rise of big data mining and intelligent recommendation, user portrait technology has gradually become a hot topic. As a new data analysis method, user portrait technology aims to mine user characteristics from a large number of user behavior data, and complete the user information panorama of the monomer or group through information mining, so as to prepare for the realization of precision service and personalized recommendation in various industries. It has been widely used in personalized recommendation and precision recommendation, personalized service and intelligent service, group characteristics analysis, prediction analysis and auxiliary decision-making. User portrait technology in the domestic research started late, currently in e-commerce, commercial precision marketing, book recommendation management, network personalized search, video entertainment and other fields of application is relatively mature. However, the application of user portrait technology in the field of medical and health is still in the preliminary exploration stage, and the combination of medical big data and user portrait technology can vividly depict the portraits of patients, doctors, residents and other different groups in promoting health and disease prevention. According to the different characteristics extracted, it can provide reference for meeting the needs of patients and achieving precision medicine. Therefore, this study reviews the concept, elements, implementation process and application of user portrait technology in the medical field, and provides reference for the subsequent application research of user portrait technology in the medical field","PeriodicalId":364880,"journal":{"name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295638","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

Alzheimer's Disease Classification Model Based on MED-3D Transfer Learning 基于MED-3D迁移学习的阿尔茨海默病分类模型

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500999

Yanmei Li, Weiwu Ding, Xingyu Wang, Lihong Li, Jinghong Tang

引用次数: 5

A nursing strategy for thoracic catheterization of pneumonia 肺炎胸腔置管术的护理策略

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500977

Minchuan Huang, Shuying Chung, I. Chen

引用次数: 0

Relationships Discovery between Nutritional Disorders and Gut Microbiota with Knowledge Graphs 利用知识图谱发现营养失调与肠道微生物群的关系

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500954

Jiahui Hu, Zhisheng Huang, Wei Chen, Pei Lou, Wanqing Zhao, Kuanda Yao, An Fang

{"title":"Relationships Discovery between Nutritional Disorders and Gut Microbiota with Knowledge Graphs","authors":"Jiahui Hu, Zhisheng Huang, Wei Chen, Pei Lou, Wanqing Zhao, Kuanda Yao, An Fang","doi":"10.1145/3500931.3500954","DOIUrl":"https://doi.org/10.1145/3500931.3500954","url":null,"abstract":"Nutrition is closely associated with public health, and more and more studies have demonstrated that there are many correlations between the gut microbiota and nutritional disorders. These studies constitute the basic source of medical knowledge. However, discovering knowledge from massive amounts of data is not easy only by manpower. This study aims at discovering the relationships between nutritional disorders and gut microbiota from the biomedical literatures with knowledge graph. In this study, literature content information from massive data is automatically and instantly extracted using SPARQL query and logic reasoning technologies. Then, an annotated corpus is obtained with the categorization and definition of relationships between nutritional disorders and gut microbiota. Thus, a knowledge graph of semantic relationship between nutritional disorders and gut microbiota is constructed, and semantic relationships are discovered, verifying the feasibility and high efficiency of relationships discovery with knowledge graphs. Moreover, the analysis of evidence case shows that it is necessary and valuable to use the importance of evidence to exclude conflicting conclusions.","PeriodicalId":364880,"journal":{"name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121892512","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

Patient specific respiratory motion model using two static CT images 利用两张静态CT图像建立患者特异性呼吸运动模型

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3501014

Tengfei Wang, Guoren Xia, Hai Li, C. Qi, Hongzhi Wang

{"title":"Patient specific respiratory motion model using two static CT images","authors":"Tengfei Wang, Guoren Xia, Hai Li, C. Qi, Hongzhi Wang","doi":"10.1145/3500931.3501014","DOIUrl":"https://doi.org/10.1145/3500931.3501014","url":null,"abstract":"Computed Tomography (CT) has been extensively used for guiding percutaneous lung biopsy during image-guided intervention. However, due to respiratory motion, there having a difference between static images and current lung. Current studies are using the global model to predict lung movement in real time. This model extracts common features of lung motion based on group-level of imaging data, which overlook the information comes from the randomness of lung movements and individual differences on the features of lung motion and consequently, limit the precision of the model. In order to resolve this issue, patient specific model is proposed and can effectively acquire individual features of lung movement but required 4D CT image that increases the risk of radiation damage. This paper developed a new patient specific respiratory motion model to establish the mathematical relationship between lung internal motion and external chest surface motion. Only two static 3D CT are needed for a specific patient, and there is no need to collect 4D CT images. The proposed method combining the advantages of global and patient specific model will ensure better prediction of lung motions and lower the risk of radiation damage. The qualitative and quantitative result show that the proposed model achieved a better balance between predictive accuracy and radiation doses.","PeriodicalId":364880,"journal":{"name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122197866","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: 1

Control strategy of lower-limb exoskeleton 下肢外骨骼控制策略

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500991

Sixian Zheng

引用次数: 0

A prediction of the Diffusion of Amyloid Beta And its Mechanism β淀粉样蛋白扩散的预测及其机制

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3501017

Kai Cao

引用次数: 0

Application of Deep Learning Method in Emotional Brain computer Interface 深度学习方法在情感脑机接口中的应用

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500933

Shangpu Wu

引用次数: 0

A Bibliometric Analysis of Application of VR Technologies in Stroke Rehabilitation from 2001 to 2021 in China. 2001 - 2021年中国VR技术在脑卒中康复中的应用文献计量学分析

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500967

Danni He, Shihua Cao, Yuchao Le, Yanfei Chen, Mengxin Wang, Beiying Qian

{"title":"A Bibliometric Analysis of Application of VR Technologies in Stroke Rehabilitation from 2001 to 2021 in China.","authors":"Danni He, Shihua Cao, Yuchao Le, Yanfei Chen, Mengxin Wang, Beiying Qian","doi":"10.1145/3500931.3500967","DOIUrl":"https://doi.org/10.1145/3500931.3500967","url":null,"abstract":"This study aims to explore the current situation, hot research topics and emerging trends of application of VR technologies in stroke rehabilitation in China in the past 20 years, and to provide a reference for researchers to grasp the research dynamics in this field comprehensively. We analyzed a total of 251 references that were collected from China Knowledge Network (CNKI) from 2001 to 2021.Visual analysis of authors, research institutions, and keywords was carried out with the software CiteSpace. We found that the annual number of articles published in this field is increasing, Fu Kuijie and Liu Yunfang are the most fruitful authors, and Liang Ming, Xiong Wei, and others formed the largest author cooperation community. The hot keywords were \"stroke\", \"virtual reality\", \"rehabilitation therapy\", \"upper limb function\", \"walking function\", etc., which formed 11 clusters. This bibliometric study reflects the research on the application of virtual reality technologies to stroke patients' rehabilitation is in the beginning development stage and maintains an incremental trend, and the cooperation among authors has been carried out to a certain extent, but the cooperation between institutions is not strong enough, and the content of the research is relatively concentrated. In the future, cooperation between authors and institutions should be strengthened, and the depth and breadth of research should be deepened based on clustering results.","PeriodicalId":364880,"journal":{"name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116273097","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: 1

Clinical and Psychological Features of Overlapping Dyspepsia in Gastroesophageal Reflux Disease 胃食管反流病重叠性消化不良的临床和心理特征

Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2021-10-29 DOI: 10.1145/3500931.3500966

Jie Hu

{"title":"Clinical and Psychological Features of Overlapping Dyspepsia in Gastroesophageal Reflux Disease","authors":"Jie Hu","doi":"10.1145/3500931.3500966","DOIUrl":"https://doi.org/10.1145/3500931.3500966","url":null,"abstract":"With the continuous improvement of people's living standards, our gastrointestinal and digestive functions are getting weaker and weaker. The treatment of gastroesophageal reflux disease caused by overlapping dyspepsia is currently not effective. There is a saying in Chinese medicine called \"the spleen governs emotions\", so this article intends to study the clinical and mental and psychological characteristics of patients with GERD overlapping dyspepsia. This article collected a questionnaire survey of 200 patients who attended the Gastroenterology Department of the Second Affiliated Hospital of Nanchang University from June 2020 to January 2021. Use questionnaire surveys, analytic hierarchy and other methods to conduct experiments. According to the data obtained, the characteristics of symptoms of GERD patients and their correlation with psychological factors were analyzed. In the Department of Gastroenterology, 200 patients were surveyed. Among them, the frequency of reflux, heartburn, belching, bitter/dry mouth, upper abdominal distension, and retrosternal pain were 80.2%, 67.5%, 70.4%, 68.1%, 49.1%, 46.7% respectively. GERD has a high incidence in our country and is a common disease of the digestive system.","PeriodicalId":364880,"journal":{"name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483945","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