发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Supporting collaboration and information sharing in computer-based clinical guideline management 支持基于计算机的临床指南管理中的协作和信息共享
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.95
Kudakwashe Dube, Essam Mansour, Bing Wu
{"title":"Supporting collaboration and information sharing in computer-based clinical guideline management","authors":"Kudakwashe Dube, Essam Mansour, Bing Wu","doi":"10.1109/CBMS.2005.95","DOIUrl":"https://doi.org/10.1109/CBMS.2005.95","url":null,"abstract":"Collaboration and information sharing for facilitating patient and clinician mobility is important to consider in supporting computer-based clinical guidelines and protocols. This paper presents part of ongoing work to develop a generic approach to supporting information sharing and collaboration in computer-based clinical guideline management. A framework for guideline management is presented with enhancements for supporting collaboration and information sharing. The generic approach combines the active rule paradigm and XML technologies to create the basis for supporting collaboration and sharing in a distributed healthcare environment.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"122 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":"126536674","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: 11
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
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
Incremental learning of ensemble classifiers on ECG data 心电数据集成分类器的增量学习
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.69
Jan Macek
{"title":"Incremental learning of ensemble classifiers on ECG data","authors":"Jan Macek","doi":"10.1109/CBMS.2005.69","DOIUrl":"https://doi.org/10.1109/CBMS.2005.69","url":null,"abstract":"We develop novel methods of incremental learning based on the bagging and boosting approaches to ensemble learning. Our method combines perceptron decision trees obtained with a margin maximizing algorithm into an ensemble in an incremental way. We demonstrate practical functionality of our algorithm on the task of ECG records classification. Our results are promising since comparable or superior accuracy is achieved when compared with results obtained by other existing methods of classification of ECG records, namely with the C5.0 decision tree algorithm.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"5 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":"113965512","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
Relevance feedback for spine X-ray retrieval 脊柱x线检索的相关反馈
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.94
Xiaoqian Xu, D. J. Lee, Sameer Kiran Antani, L. Long
{"title":"Relevance feedback for spine X-ray retrieval","authors":"Xiaoqian Xu, D. J. Lee, Sameer Kiran Antani, L. Long","doi":"10.1109/CBMS.2005.94","DOIUrl":"https://doi.org/10.1109/CBMS.2005.94","url":null,"abstract":"Relevance feedback (RF) has been an active research area in content-based image retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-level human visual perception by analyzing and employing the feedback information provided by the user. This gap becomes more evident and important in medical image retrieval due to the two distinct facts with regard to medical images: (1) subtle differences between images, even between pathological and non-pathological images; (2) subjective and different diagnosis even among experts. This paper describes a novel linear weight-updating approach for RF applying to spine X-ray image retrieval. The algorithm utilizes both positive and negative examples to gain feedback from the user. Experimental results show that the proposed approach can substantially improve the retrieval performance to better satisfy the individual user's preferences.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"09 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":"127219536","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: 16
Classification of the auditory brainstem response (ABR) using wavelet analysis and Bayesian network 基于小波分析和贝叶斯网络的听觉脑干反应分类
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.41
Rui Zhang, Gerry McAllister, B. Scotney, S. McClean, G. Houston
{"title":"Classification of the auditory brainstem response (ABR) using wavelet analysis and Bayesian network","authors":"Rui Zhang, Gerry McAllister, B. Scotney, S. McClean, G. Houston","doi":"10.1109/CBMS.2005.41","DOIUrl":"https://doi.org/10.1109/CBMS.2005.41","url":null,"abstract":"The auditory brainstem response (ABR) has become a routine clinical tool for hearing and neurological assessment. In order to pick out the ABR from the background EEG activity that obscures it, stimulus-synchronized averaging of many repeated trials is necessary and it typically requires up to 2000 repetitions. This number of repetitions can be very difficult, time consuming and uncomfortable for some subjects. In this study a method combining the wavelet analysis and the Bayesian network is introduced to reduce the required number of repetitions, which could offer a great advantage in the clinical situation. The important features of the ABR are extracted by thresholding and matching the wavelet coefficients. These extracted features are then used as the variables to build up the Bayesian network for classifying the ABR. 172 ABRs with 64 repetitions are applied in this study to learn the Bayesian network and estimate the conditional probability tables (CPTs). A further 142 ABRs with 64 repetitions are used to test the network. Moreover, this Bayesian network can also be applied to classify the ABRs with 128 repetitions.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"27 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":"127439014","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
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
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
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
Validating health status questionnaires in medicine: examples from a real life trial 医学中健康状况问卷的验证:来自真实生活试验的例子
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.103
Margaret G. E. Peterson, L. Robbins, Nancy Kwong
{"title":"Validating health status questionnaires in medicine: examples from a real life trial","authors":"Margaret G. E. Peterson, L. Robbins, Nancy Kwong","doi":"10.1109/CBMS.2005.103","DOIUrl":"https://doi.org/10.1109/CBMS.2005.103","url":null,"abstract":"In this paper, a project that required only one set of data entry is reported. In this, each participant response is entered into a record similar to an Excel record with the variable values reading across horizontally and is identified by the study number of the participant, the participant's group (exerciser or control), and the number designating the time point in the study. This matrix sufficed for most of the reliability analysis, and for the calculation of intra-class correlation coefficients. These records could then be merged horizontally by study number to do repeated measures analysis and to calculate Cohen's kappa.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"29 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":"130827771","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信