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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)最新文献

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An initial investigation into the role of health informatics in the context of global health 对卫生信息学在全球卫生背景下的作用的初步调查
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.26
G. Stephens, G. Woods
{"title":"An initial investigation into the role of health informatics in the context of global health","authors":"G. Stephens, G. Woods","doi":"10.1109/CBMS.2005.26","DOIUrl":"https://doi.org/10.1109/CBMS.2005.26","url":null,"abstract":"This paper reports on an initial investigation into the role of health informatics in the context of global health. Statistics from the World Health Organisation (WHO) concerning mortality rates and disease burden are presented and based on these statistics HIV/AIDS is chosen as a clinical domain for investigation. The results highlight the lack of health service capacity in some geographical regions. The Millennium Development Goals (MDG), some funding initiatives and some current and new ways to apply Information and Communication Technology (ICT) are put forward. The paper concludes with a description of a collaborative project between Trinity College Dublin, St. James's hospital Dublin and Mulago hospital, Uganda.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129290404","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
A missing data estimation analysis in type II diabetes databases 2型糖尿病数据库中缺失的数据估计分析
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.13
M. Giardina, Yongyang Huo, F. Azuaje, P. Mccullagh, R. Harper
{"title":"A missing data estimation analysis in type II diabetes databases","authors":"M. Giardina, Yongyang Huo, F. Azuaje, P. Mccullagh, R. Harper","doi":"10.1109/CBMS.2005.13","DOIUrl":"https://doi.org/10.1109/CBMS.2005.13","url":null,"abstract":"Type II diabetes is one of the most common causes of disability and death in the United Kingdom. This investigation analysed data acquired from diabetic patients at the Ulster Hospital in Northern Ireland in terms of statistical descriptive indicators and missing values. Such data are noisy and incomplete. This paper reports a comprehensive missing data estimation analysis. Five missing value imputation methods were compared, including k-Nearest Neighbours (k-NN) and correlation-based estimation models. From this analysis it can be concluded that a feature-based correlation method known as EMImpute/spl I.bar/Columns is a promising approach to estimating missing values. Nevertheless, k-NN methods may be useful to provide relatively accurate estimations with lower error variability. These estimation techniques will support the implementation of supervised and unsupervised learning tools for coronary heart disease risk assessment, a major complication of diabetes.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132247814","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: 10
Biomedical Informatics Research Network: integrating multi-site neuroimaging data acquisition, data sharing and brain morphometric processing 生物医学信息学研究网络:集多站点神经影像数据采集、数据共享和脑形态测量处理于一体
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.38
J. Jovicich, M. Beg, Steve Pieper, C. Priebe, M. Miller, R. Buckner, B. Rosen
{"title":"Biomedical Informatics Research Network: integrating multi-site neuroimaging data acquisition, data sharing and brain morphometric processing","authors":"J. Jovicich, M. Beg, Steve Pieper, C. Priebe, M. Miller, R. Buckner, B. Rosen","doi":"10.1109/CBMS.2005.38","DOIUrl":"https://doi.org/10.1109/CBMS.2005.38","url":null,"abstract":"The Biomedical Informatics Research Network (BIRN) is a National Institutes of Health (USA) initiative that fosters distributed collaborations in biomedical science by utilizing information technology innovations. Morphometry BIRN is one of its testbeds and has the goal to develop the ability to conduct clinical imaging studies across multiple sites, to analyze structural imaging data with the most powerful software regardless of development site, and to test new hypotheses on large collections of subjects with well-characterized image and clinical data. Through large-scale analyses of patient population data acquired and pooled across sites, we are investigating neuroanatomic correlates of Alzheimer's Disease Depression and Mild Cognitive Impairment subjects. This paper describes progress in multi-site image calibration and in software integration for multi-site image processing.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411806","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: 18
The Telescience project: application to middleware interaction components Telescience项目:应用程序到中间件交互组件
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.99
A. Lin, L. Dai, K. Ung, S. Peltier, Mark Ellisman
{"title":"The Telescience project: application to middleware interaction components","authors":"A. Lin, L. Dai, K. Ung, S. Peltier, Mark Ellisman","doi":"10.1109/CBMS.2005.99","DOIUrl":"https://doi.org/10.1109/CBMS.2005.99","url":null,"abstract":"The Telescience Project/spl trade/ (https://telescience.ucsd.edu) aims to provide a complete, end-to-end, single sign-on solution for biomedical image analysis and structure-function correlation. Telescience merges advanced solutions for remote instrumentation (via Telemicroscopy/spl trade/), distributed data computation and storage, and transparent access to federated databases of cell structure. Here, we describe the Grid-based system architecture that enables the Telescience Project. This Grid service architecture provides a fabric for seamless interoperability among user interfaces (Web portals and applications) and externally addressable Grid resources (instruments and computers). Although many software components and tools provide some capabilities relating to enabling usable scientific grids, few systems offer the required complete interactions with grid infrastructures \"out of the box\". Significant time and effort, therefore, are needed for software evaluation, testing, and integration. Here we describe an emerging layer of the overall Grid infrastructure that provides a complete solution for application and portal developers to interact with core Grid functionality.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129327641","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: 19
A Bayesian approach to modelling inpatient expenditure 一个贝叶斯方法建模住院费用
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.5
B. Shaw, A. Marshall
{"title":"A Bayesian approach to modelling inpatient expenditure","authors":"B. Shaw, A. Marshall","doi":"10.1109/CBMS.2005.5","DOIUrl":"https://doi.org/10.1109/CBMS.2005.5","url":null,"abstract":"This paper introduces a model for representing patient survival and cost. An extension of Bayesian network (BN) theory is developed to represent such a model whereby patient's continuous survival time in hospital is modelled with respect to the graphical and probabilistic representation of the interrelationships between the patient's clinical variables. Unlike previously defined BN techniques, this extended model can accommodate continuous times that are skewed in nature. This paper presents the theory behind such an approach and extends it by attaching a cost variable to the survival times, enabling the costing and efficient management of groups of patients in hospital The model, applied to 4722 patients admitted into a geriatric ward of a U.K. hospital between 1994 and 1997, could be beneficial to hospital managers as a method for investigating the influence of future decisions and policy changes on the hospital expenditure.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128481242","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
Medical imaging and osteoporosis: fractal's lacunarity analysis of trabecular bone in MR images 医学影像与骨质疏松:MR图像中骨小梁的分形间隙分析
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.73
A. Zaia, Roberta Eleonori, P. Maponi, R. Rossi, R. Murri
{"title":"Medical imaging and osteoporosis: fractal's lacunarity analysis of trabecular bone in MR images","authors":"A. Zaia, Roberta Eleonori, P. Maponi, R. Rossi, R. Murri","doi":"10.1109/CBMS.2005.73","DOIUrl":"https://doi.org/10.1109/CBMS.2005.73","url":null,"abstract":"The aim of this study was to develop a method of MR image analysis able to provide parameter(s) sensitive to bone microarchitecture changes in aging and osteoporosis onset and progression. The method has been built taking into account fractal properties of many anatomic and physiologic structures. Fractal lacunarity analysis has been used to determine relevant parameter(s) to differentiate among three types of trabecular bone structure (healthy young, healthy perimenopaused, and osteoporotic patients) from lumbar vertebra MR images. In particular, we propose to approximate the lacunarity function by a hyperbola model function, that depends on three different coefficients, /spl alpha/, /spl beta/, /spl gamma/, and to compute these coefficients as the solution of a least squares problem. This term of coefficients provides the model function that better represents the variation of mass density of pixels in the image considered. Clinical application of this preliminary version of our method suggests that one of the three coefficients, namely /spl beta/, may represent a standard for an evaluation of trabecular bone architecture and a potential useful parametric index in early diagnosis of osteoporosis.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128136560","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: 23
Predicting preterm birth using artificial neural networks 用人工神经网络预测早产
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.84
C. Catley, M. Frize, R. Walker, D. Petriu
{"title":"Predicting preterm birth using artificial neural networks","authors":"C. Catley, M. Frize, R. Walker, D. Petriu","doi":"10.1109/CBMS.2005.84","DOIUrl":"https://doi.org/10.1109/CBMS.2005.84","url":null,"abstract":"This paper has three contributions: 1) to evaluate how changing the a priori distribution of the training set affects the performance of a back-propagation feed-forward artificial neural network (ANN) in predicting PreTerm Birth (PTB) for obstetrical patients, 2) to assess the effectiveness of the weight elimination cost function in improving the ANN's classification of PTB and in identifying a new minimal dataset, and (3) to determine if PTB can be predicted outside of clinical trial situations using data readily available to the physician during obstetrical care. The ANN was trained and tested on cases with 8 input variables describing the patient's obstetrical history; the output variable was PTB before 37 weeks gestation. To observe the impact of training with a higher-than-normal prevalence, an artificial training set with a PTB rate of 23% was created. Networks trained on higher-than-normal prevalence achieved higher sensitivity rates and greater C-index values, at the cost of slightly lower specificity and correct classification rates.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125705228","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: 5
A Practical Tool for Visualizing and Data Mining Medical Time Series 可视化和数据挖掘医疗时间序列的实用工具
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.17
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, S. Lonardi, C. Ratanamahatana, H. V. Herle
{"title":"A Practical Tool for Visualizing and Data Mining Medical Time Series","authors":"Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, S. Lonardi, C. Ratanamahatana, H. V. Herle","doi":"10.1109/CBMS.2005.17","DOIUrl":"https://doi.org/10.1109/CBMS.2005.17","url":null,"abstract":"The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis rarely take advantage of the wealth of tools that the data mining community has made available. In this work, we attempt to address this problem by introducing a parameter-light tool that allows users to efficiently navigate through large collections of time series. Our approach extracts features from a time series of arbitrary length and uses information about the relative frequency of these features to color a bitmap in a principled way. By visualizing the similarities and differences within a collection of bitmaps, a user can quickly discover clusters, anomalies, and other regularities within the data collection. We demonstrate the utility of our approach with a set of comprehensive experiments on real datasets from a variety of medical domains","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117278546","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: 25
Privacy of medical records: from law principles to practice 医疗记录隐私:从法律原则到实践
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.89
Béatrice Finance, S. Medjdoub, P. Pucheral
{"title":"Privacy of medical records: from law principles to practice","authors":"Béatrice Finance, S. Medjdoub, P. Pucheral","doi":"10.1109/CBMS.2005.89","DOIUrl":"https://doi.org/10.1109/CBMS.2005.89","url":null,"abstract":"Regulating access to electronic health records has become a major social and technical challenge. Unfortunately, existing access control models fail in translating accurately basic law principles related to the safeguard of personal information (e.g., medical folder). This paper identifies the problem and proposes a solution in the EHR context.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121041159","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: 17
Synopsis for microbiological data stream analysis 微生物数据流分析摘要
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.96
Gianfranco Cellarosi, Claudio Sartori
{"title":"Synopsis for microbiological data stream analysis","authors":"Gianfranco Cellarosi, Claudio Sartori","doi":"10.1109/CBMS.2005.96","DOIUrl":"https://doi.org/10.1109/CBMS.2005.96","url":null,"abstract":"This paper derives from the extensive analysis of the results of microbiological laboratory output in a large hospital. In this environment data items are automatically collected by transactions linked to the analysis devices and the data flow rate can be very high. In addition, the time of the data items is extremely relevant, since a variation of the number of positive findings can be generated by dangerous events, such as outbreaks. The typical setting of data mining applications is to process data, in search of some hidden information. Unfortunately in this environment, we have many transactions and everyone of these is a potentially important information. When the data set changes, some kind of re-computation, either from scratch or according to differences only, has to be done. Things change when the change rate increases, so as to make difficult to process changes before new changes arrive. We define this particular situation as a data stream, and we devise a framework allowing efficient analysis of data streams. We propose a base set of techniques, which can be used to analyze data streams in Euclidean space, putting together information processing and statistical techniques. In particular, we are interested in detecting \"alarms\" in microbiological time series, that is points in time where the detected data differ from the values expected on the basis of past history. We provide also experimental results, based on real and data.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116123007","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
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