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

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Reducing the computational cost for statistical medical image analysis: an MRI study on the sexual morphological differentiation of the corpus callosum 减少统计医学图像分析的计算成本:胼胝体性别形态分化的MRI研究
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.93
D. Kontos, V. Megalooikonomou, J. Gee
{"title":"Reducing the computational cost for statistical medical image analysis: an MRI study on the sexual morphological differentiation of the corpus callosum","authors":"D. Kontos, V. Megalooikonomou, J. Gee","doi":"10.1109/CBMS.2005.93","DOIUrl":"https://doi.org/10.1109/CBMS.2005.93","url":null,"abstract":"We illustrate the application of intelligent medical image analysis techniques in order to reduce the computational cost of statistical voxel-wise analysis for detecting discriminative regions of morphological variability among different populations. We demonstrate that novel statistical image processing techniques that operate selectively on groups of pixels are suitable for morphological analysis of anatomical structures visualized by modern medical imaging modalities. We also show that the proposed methodology effectively decreases the number of statistical tests performed, alleviating the effect of the multiple comparison problem. We show that our approach detects regions of statistically significant morphological variability. Our results validate previous findings, while being robust across a wide range of experimental settings.","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":"130506486","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 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
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
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
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
Approximations to magic: finding unusual medical time series 近似魔法:发现不寻常的医疗时间序列
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.34
Jessica Lin, Eamonn J. Keogh, A. Fu, H. V. Herle
{"title":"Approximations to magic: finding unusual medical time series","authors":"Jessica Lin, Eamonn J. Keogh, A. Fu, H. V. Herle","doi":"10.1109/CBMS.2005.34","DOIUrl":"https://doi.org/10.1109/CBMS.2005.34","url":null,"abstract":"In this work we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest of the time series subsequences. They thus capture the sense of the most unusual subsequence within a time series. While the brute force algorithm to discover time series discords is quadratic in the length of the time series, we show a simple algorithm that is 3 to 4 orders of magnitude faster than brute force, while guaranteed to produce identical results.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"68 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":"133463130","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: 138
A data mining based approach for the EEG transient event detection and classification 基于数据挖掘的脑电瞬态事件检测与分类方法
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.7
T. Exarchos, A. Tzallas, D. Fotiadis, S. Konitsiotis, S. Giannopoulos
{"title":"A data mining based approach for the EEG transient event detection and classification","authors":"T. Exarchos, A. Tzallas, D. Fotiadis, S. Konitsiotis, S. Giannopoulos","doi":"10.1109/CBMS.2005.7","DOIUrl":"https://doi.org/10.1109/CBMS.2005.7","url":null,"abstract":"An automated methodology which detects transient events in EEG recordings and classifies those as epileptic spikes, muscle activity, eye blinking activity and sharp alpha activity is presented. It is based on data mining algorithms and includes four stages: (I) EEG preprocessing and transient events detection, (II) clustering of transient events and feature extraction, (III) feature discretization and (IV) association rule mining and classification. The methodology is evaluated using a dataset of 25 EEG recordings and the obtained overall accuracy is 84.35%. The major advantage of our approach is that it is able to provide interpretation for the decisions made since it is based on a set of association rules.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"64 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":"134231902","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: 14
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
Data mining methods supporting diagnosis of melanoma 支持黑色素瘤诊断的数据挖掘方法
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.46
J. Grzymala-Busse, Z. Hippe
{"title":"Data mining methods supporting diagnosis of melanoma","authors":"J. Grzymala-Busse, Z. Hippe","doi":"10.1109/CBMS.2005.46","DOIUrl":"https://doi.org/10.1109/CBMS.2005.46","url":null,"abstract":"Melanoma, a dangerous skin cancer, is usually diagnosed using the ABCD formula. The main objective of our research was to find a better formula resembling the original ABCD formula using four different discretization methods. All four corresponding modified ABCD formulas are significantly more accurate (with the level of significance 5%) than the original ABCD formula. Our additional objective was to calibrate the rule set induced from the original data set, describing melanoma, using the best discretization method, so that the sensitivity (the conditional probability for recognition of malignant and suspicious melanoma) was increased. This objective was accomplished using a technique of changing rule strengths.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"9 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":"133959893","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: 14
Preprocessing of mass spectrometry proteomics data on the grid 网格上质谱蛋白质组学数据的预处理
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) Pub Date : 2005-06-23 DOI: 10.1109/CBMS.2005.87
M. Cannataro, P. Guzzi, T. Mazza, G. Tradigo, P. Veltri
{"title":"Preprocessing of mass spectrometry proteomics data on the grid","authors":"M. Cannataro, P. Guzzi, T. Mazza, G. Tradigo, P. Veltri","doi":"10.1109/CBMS.2005.87","DOIUrl":"https://doi.org/10.1109/CBMS.2005.87","url":null,"abstract":"The combined use of mass spectrometry and data mining is a novel approach in proteomic pattern analysis for discovering novel biomarkers or identifying patterns and associations in proteomic profiles. Data produced by mass spectrometers are affected by errors and noise due to sample preparation and instrument approximation, so different preprocessing techniques need to be applied before analysis is conducted. We survey different techniques for spectra preprocessing, and we present a first design of a software tool that allows the preprocessing, management and analysis of mass spectrometry data on the Grid.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"60 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":"122628555","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: 33
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