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Proceedings of the 2017 International Conference on Digital Health最新文献

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Screening for Neonatal Jaundice with a Smartphone 用智能手机筛查新生儿黄疸
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079488
Felix Outlaw, J. Meek, L. MacDonald, T. Leung
{"title":"Screening for Neonatal Jaundice with a Smartphone","authors":"Felix Outlaw, J. Meek, L. MacDonald, T. Leung","doi":"10.1145/3079452.3079488","DOIUrl":"https://doi.org/10.1145/3079452.3079488","url":null,"abstract":"A method to screen for jaundice in neonates using a digital image of the sclera is proposed. The RGB pixel values from a raw format image are used to derive an estimate for the total serum bilirubin (TSB). A study at UCH Neonatal Unit found a correlation of r=0.71 (p<0.01) between measured TSB and TSB estimated by this method. The advantages of using a smartphone camera as a mobile screening device are discussed.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127355167","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: 8
Automatic Extraction of Deep Phenotypes for Precision Medicine in Chronic Kidney Disease 用于慢性肾脏疾病精准医疗的深层表型自动提取
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079489
Prerna Singh, V. Chandola, C. Fox
{"title":"Automatic Extraction of Deep Phenotypes for Precision Medicine in Chronic Kidney Disease","authors":"Prerna Singh, V. Chandola, C. Fox","doi":"10.1145/3079452.3079489","DOIUrl":"https://doi.org/10.1145/3079452.3079489","url":null,"abstract":"Chronic Kidney Disease (CKD) is one of the deadliest diseases in the world, with 10% of the global population affected by the disease. Identifying subpopulations with characteristic disease progressions is important to find more efficient treatments for patients with this disease. The abundance of electronic health records (EHR) data can be used to find meaningful subtypes for CKD but comes with challenges during analysis, including irregular data sampling, and skewness in the data collected over time. In this paper, multiple regression techniques were used to fill in the missing estimated glomerular filtration rate (or eGFR -- a key measure for kidney function) trajectory data, so it can be clustered effectively. Clustering is applied to the enhanced data to obtain six subtypes, which capture crucial trends in the disease progression of patients. Moreover, the characteristics of patients in each of the subtypes had minor differences from others. These characteristics demonstrate risk factors and positive lifestyles choices of patients with CKD, which can help develop new treatments for CKD.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752155","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: 3
Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the "Closer to Home" Quality Improvement Programme in NHS Forth Valley 预防体弱多病和老年人住院:为国民保健制度福斯谷"离家更近"的质量改进方案制定评估框架
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079481
M. C. Martin, M. Bouamrane, K. Kavanagh, P. Woolman
{"title":"Preventing Frail and Elderly Hospital Admissions: Developing an Evaluation Framework for the \"Closer to Home\" Quality Improvement Programme in NHS Forth Valley","authors":"M. C. Martin, M. Bouamrane, K. Kavanagh, P. Woolman","doi":"10.1145/3079452.3079481","DOIUrl":"https://doi.org/10.1145/3079452.3079481","url":null,"abstract":"'Closer to Home' is a co-ordinated programme in NHS Forth Valley aiming to improve the provision of community care for frail and older people at increased risk of unscheduled hospital admission. Evaluating the cost-effectiveness of such initiatives is essential towards shaping policies and optimising elderly care provision in the community. This paper underlines the early stages of the development of a data-analytics evaluation framework for \"Closer to Home,\" incorporating all dimensions of the RE-AIM model for evaluating public health impact in health promotion interventions. The evaluation framework currently consists in: (1) understanding and documenting the context, (2) identifying the range of relevant data, (3) identifying outcomes and performance measures, and (4) synthesising all of the above into a coherent evaluation of the effectiveness of the programme. The purpose of this paper is to share our experience of the challenges and opportunities which arise in the early stages of developing a multi-faceted quality improvement programme evaluation framework.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121381738","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
An Interactive Web-based Decision Support System for Mass Dispensing, Emergency Preparedness, and Biosurveillance 大规模配药、应急准备和生物监测的交互式网络决策支持系统
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079473
Eva K. Lee, F. Pietz, Chien-Hung Chen, Yifan Liu
{"title":"An Interactive Web-based Decision Support System for Mass Dispensing, Emergency Preparedness, and Biosurveillance","authors":"Eva K. Lee, F. Pietz, Chien-Hung Chen, Yifan Liu","doi":"10.1145/3079452.3079473","DOIUrl":"https://doi.org/10.1145/3079452.3079473","url":null,"abstract":"In this study, we present an interactive web-based real-time decision support suite, RealOpt©. The system integrates visualization, information and cognitive analytics, and dynamic large-scale computational modeling and optimization tools that allow public health emergency preparedness coordinators to determine optimal response facilities and locations, resource needs and supply-routes, and population flow in real time. With an eye towards flexibility and future system expansion, RealOpt is designed in modular format allowing direct linkage to multiple functional modules. Currently, the system has twelve modules covering emergency response preparedness and operations for biological, chemical, radiological/nuclear incidents, biosurveillance, epidemiology, and decontamination models, operations logistics and networks, a real-time crowd sourcing data feed, and evacuation planning. RealOpt has been used for biodefense and H1N1 regional planning and operations, regional flood and hurricane responses, 2010 Haiti earthquake disaster relief, 2011 Japan Fukushima disaster, 2014-2015 Ebola containment assistance and after-event public health preparedness training in West Africa, and current Zika virus containment analysis. The fast solution engines enable real-time use for rapid decision and scenario analysis, since it requires only one CPU minute to determine an optimal network of facilities and resource needs to serve a population of over 10 million.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129520631","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: 6
Towards a Gamified Recommender System for the Elderly 迈向游戏化的长者推荐系统
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079500
Madita Herpich, T. Rist, A. Seiderer, E. André
{"title":"Towards a Gamified Recommender System for the Elderly","authors":"Madita Herpich, T. Rist, A. Seiderer, E. André","doi":"10.1145/3079452.3079500","DOIUrl":"https://doi.org/10.1145/3079452.3079500","url":null,"abstract":"Starting from our previous work on a digital picture frame - the CARE system - that interleaves a picture display mode with a recommender mode to promote a healthy life-style and to increase well-being of elderly people, this paper investigates the use of gamification as a means to increase user appreciation of the CARE system. To this end, we arranged two co-design workshops with peer-groups of senior citizens. We report on outcomes of the workshops and draw conclusions for a gamified version of CARE.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134439040","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: 9
Health Misinformation in Search and Social Media 搜索和社交媒体中的健康错误信息
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079483
Amira Ghenai
{"title":"Health Misinformation in Search and Social Media","authors":"Amira Ghenai","doi":"10.1145/3079452.3079483","DOIUrl":"https://doi.org/10.1145/3079452.3079483","url":null,"abstract":"People regularly use web search and social media to investigate health related issues. This type of Internet data might contain misinformation i.e incorrect information which contradicts current established medical understanding. If people are influenced by the presented misinformation in these sources, they can make harmful decisions about their health. Our research goal is to investigate the affect of Internet data on people's health. Our current findings suggest that people can be potentially harmed by search engine results. Furthermore, we successfully built a high precision approach to track misinformation in social media. In this paper, we briefly discuss our ongoing work results. Thereafter, we propose a research plan to understand possible mechanisms of misinformation's effect on people and possible impacts of these misinformation on public health.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114625295","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: 7
Learning Human Interaction using a Smart Rollator, the i-Walker 学习人类互动使用智能滚轮，i-Walker
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-07-02 DOI: 10.1145/3079452.3079482
Àtia Cortés
{"title":"Learning Human Interaction using a Smart Rollator, the i-Walker","authors":"Àtia Cortés","doi":"10.1145/3079452.3079482","DOIUrl":"https://doi.org/10.1145/3079452.3079482","url":null,"abstract":"In addition, the retirement from the working life, and the consequent reduction of physical and social activity, contribute to the increased incidence of falls in older adults. Moreover, elderly people suffer different kinds of cognitive decline, such as dementia or attention problems, which also accentuate gait disorders. Assistive technologies (AT) play a key role in today's society, especially when it comes to the older adults. They aim to maintain or improve individual's functioning and independence and to enhance overall well-being. ATs have enabled improvements in their Quality of Life, extending their autonomy and community living and allowing them to stay active in a safe and independent way. During the last decade, research has focused on developing ATs with sensor systems integrated in the device or located in the human body. Efforts are focused especially on mobility assistance for different targets of people and activity recognition, which could be used, for instance, to monitor elderly population while performing activities of daily living.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126427506","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
Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data 基于Twitter数据的登革热流行病学模型的改进
Proceedings of the 2017 International Conference on Digital Health Pub Date : 2017-05-22 DOI: 10.1145/3079452.3079464
J. Albinati, Wagner Meira Jr, G. Pappa, Mauro M. Teixeira, Cecilia A. Marques-Toledo
{"title":"Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data","authors":"J. Albinati, Wagner Meira Jr, G. Pappa, Mauro M. Teixeira, Cecilia A. Marques-Toledo","doi":"10.1145/3079452.3079464","DOIUrl":"https://doi.org/10.1145/3079452.3079464","url":null,"abstract":"Epidemiological early warning systems for dengue fever rely on up-to-date epidemiological data to forecast future incidence. However, epidemiological data typically requires time to be available, due to the application of time-consuming laboratorial tests. This implies that epidemiological models need to issue predictions with larger antecedence, making their task even more difficult. On the other hand, online platforms, such as Twitter or Google, allow us to obtain samples of users' interaction in near real-time and can be used as sensors to monitor current incidence. In this work, we propose a framework to exploit online data sources to mitigate the lack of up-to-date epidemiological data by obtaining estimates of current incidence, which are then explored by traditional epidemiological models. We show that the proposed framework obtains more accurate predictions than alternative approaches, with statistically better results for delays greater or equal to 4 weeks.","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731607","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: 13
Proceedings of the 2017 International Conference on Digital Health 2017年数字健康国际会议论文集
Proceedings of the 2017 International Conference on Digital Health Pub Date : 1900-01-01 DOI: 10.1145/3079452
{"title":"Proceedings of the 2017 International Conference on Digital Health","authors":"","doi":"10.1145/3079452","DOIUrl":"https://doi.org/10.1145/3079452","url":null,"abstract":"","PeriodicalId":245682,"journal":{"name":"Proceedings of the 2017 International Conference on Digital Health","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114353315","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: 3
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