2021 International Conference on Public Health and Data Science (ICPHDS)最新文献_第2页

Evidence based on patient’s experience data and clinical guidelines-for patient-oriented clinical decision support 基于患者经验数据和临床指南的证据-以患者为导向的临床决策支持

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00056

Congqian Wu, Liang Xiao

{"title":"Evidence based on patient’s experience data and clinical guidelines-for patient-oriented clinical decision support","authors":"Congqian Wu, Liang Xiao","doi":"10.1109/icphds53608.2021.00056","DOIUrl":"https://doi.org/10.1109/icphds53608.2021.00056","url":null,"abstract":"In view of the fact that evidence-based clinical decision support systems (CDSS) mostly make objective decisions based on clinical evidence, ignoring the subjective preferences of patients. How to provide the most suitable and personalized medical plan for a particular patient is a problem that should be considered at present. For this purpose, we propose to use patients’ experience data and clinical guidelines as knowledge sources to construct evidence in order to support patient-oriented clinical decision-making. In this paper, we propose a side-effect knowledge model, which can model the side-effect knowledge obtained from two data sources: patient experience data and clinical guidelines to support mining patient preferences in a more fine-grained form. In addition, we also propose a comprehensive decision-making system architecture that can consider both the patient’s clinical symptoms and subjective preferences, so as to provide more comprehensive and interpretable decision support for clinicians and patients. We designed and implemented a prototype system to prove the feasibility of this decision support system architecture.","PeriodicalId":108827,"journal":{"name":"2021 International Conference on Public Health and Data Science (ICPHDS)","volume":"99 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236713","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

[Copyright notice] (版权)

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00003

引用次数: 0

A Data-based Research on China’s National Image in COVID-19 Epidemic Reports Covered by German Mainstream Media 基于数据的德国主流媒体新冠肺炎疫情报道中中国国家形象研究

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00029

Bai Ying

引用次数: 0

Study on Multi-subject Collaborative Governance Mechanism in Poverty Alleviation by Developing Traditional Chinese Medicine (TCM) Industry 发展中医药产业扶贫的多主体协同治理机制研究

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00019

Yu Zheng, Li Chen

引用次数: 1

Transmission pattern and climatic effects as for the hand-foot-mouth disease 手足口病的传播模式及气候影响

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00061

P. Zhang, Y. Wei, T. Tang

{"title":"Transmission pattern and climatic effects as for the hand-foot-mouth disease","authors":"P. Zhang, Y. Wei, T. Tang","doi":"10.1109/icphds53608.2021.00061","DOIUrl":"https://doi.org/10.1109/icphds53608.2021.00061","url":null,"abstract":"Objective To study the transmission parameters of hand-foot-mouth (HFM) disease and the effects of climate on the incidence, by focusing on the HFM infection in Guangxi Province. Method A TSIR model was employed to analyze the transmission parameters. Pearson correlation, multiple linear regression model, generalized additive model and random forest model used to reveal the effects of climate on HFM disease transmission. Results The result indicates that the reporting rate and the infection rate were 0.37 and 0.00035, respectively, with the size of susceptible individuals as about 490 thousand. Since Guangxi has a subtropical monsoon climate, the study shows that the strongest influence on HFM infection is temperature and followed by rainfall through the Pearson correlation coefficients as 0.55 and 0.4, respectively. Incidence linearly grows with increase of temperature, but the rainfall-HFMD relationship was shown as an approximately inverted U shape curve, with a threshold as 10.5mm. Conclusion Low reporting rate, high infection rate, and huge susceptible people, indicated the severity of HFM infections in Guangxi Province. Evident influence of climate on the incidence illustrates that climate can be used as an indicator for the disease control.","PeriodicalId":108827,"journal":{"name":"2021 International Conference on Public Health and Data Science (ICPHDS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148952","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 Digital Government Governance in Public Health Emergencies 突发公共卫生事件中数字政府治理研究

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00038

Defa Cai, Bingqian Chen

引用次数: 0

GIS-based characteristics of Infectious disease transmission: A comparison of COVID-19 and SARS in Guangzhou, China 基于gis的传染病传播特征:广州市COVID-19与SARS的比较

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00060

Mengting Wang, Z. Miao, Zhidong Wang, Lijun Jin

引用次数: 2

Early Childhood Education Based on Big Data 基于大数据的幼儿教育

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00018

Xinxian Zhao

引用次数: 1

The impact of the policy of free medical services on the population in Ambon of Indonesia 免费医疗服务政策对印度尼西亚安汶人口的影响

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00052

Xin Zhao, Fang Tan, Weiwei Liu, Qin Li

{"title":"The impact of the policy of free medical services on the population in Ambon of Indonesia","authors":"Xin Zhao, Fang Tan, Weiwei Liu, Qin Li","doi":"10.1109/icphds53608.2021.00052","DOIUrl":"https://doi.org/10.1109/icphds53608.2021.00052","url":null,"abstract":"The mayor of Ambon City, in order to improve the welfare of society especially the health sector has made a policy too free basic health services costs at health centers and its network for all communities. In implementing this policy, there are many problems both technical and operational. This research is descriptive analysis with a qualitative approach and conducted at live sub district coordinator public health services. Research data obtained by in-depth interviews and focused group discussion. For data analysis, qualitative techniques were used, that is, narrative interpretations, conclusions and data validation by triangulation techniques. The results show that on giving free services, officer does not show any improvement in their performance. This was the result of the absence of incentives or special compensation for them. Material and non-material compensation is expected to increase work motivation. Supporting facilities, such as logistics and health facilities should be prepared to improve of free services, this is for in turn increasing patient’s satisfaction. Stakeholder perception feels that the policy Ambon City Government regarding health services the free base is very good and profitable for the community. Public Health Center staff performance after free policy decreased because it was not evenly distributed the division of main tasks and work functions is still lacking organizational support. Nothing special incentives and compensation provided for officers in running free services, good materially and nonmaterial. Satisfaction level patients in receiving free services at Public Health Center did not match his expectations, because of the facilities, logistics as well as the layout of the Public Health Center as free support services, attitude and appearance officers in providing services, and resources humans (HR) who are still lacking in Public health center.","PeriodicalId":108827,"journal":{"name":"2021 International Conference on Public Health and Data Science (ICPHDS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493661","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

Named Entity Recognition of liver cancer data based on Damped Pointer Network and Dynamic Fusion 基于阻尼指针网络和动态融合的肝癌数据命名实体识别

2021 International Conference on Public Health and Data Science (ICPHDS) Pub Date : 2021-07-01 DOI: 10.1109/icphds53608.2021.00034

Liang Zhang, Bin Qin, Ren Cai, Zhili Wang

{"title":"Named Entity Recognition of liver cancer data based on Damped Pointer Network and Dynamic Fusion","authors":"Liang Zhang, Bin Qin, Ren Cai, Zhili Wang","doi":"10.1109/icphds53608.2021.00034","DOIUrl":"https://doi.org/10.1109/icphds53608.2021.00034","url":null,"abstract":"The electronic medical record (EMR) of liver cancer covers a large amount of key information, including the pathological stage of the tumor, the location of the tumor, and the size of the tumor, which helps doctors quickly understand the patient’s condition and make diagnosis. However, conceptually complex and multi-terminological EMR makes doctors hard to retrieve useful information, which not only leads to low work efficiency, but also may miss the key information of pathological understanding. Named entity recognition (NER) technology can help doctors quickly screen out key entities and improve the efficiency of clinicians. In this study, we proposed two model structures (Damped Pointer Network and Dynamic Fusion) to improve the accuracy and recall rate of entity recognition. The model structures were well fitted the EMR with small size of samples and many technical terms in the form of uncommon words. Experiments showed that the F1-score (harmonic average of accuracy and recall rate) of the model structures proposed in this study was 98.56%, which was 2% higher than other frequently-used recognition technologies like BERT and BERT-CRF.","PeriodicalId":108827,"journal":{"name":"2021 International Conference on Public Health and Data Science (ICPHDS)","volume":"482 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898914","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: 2