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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)最新文献

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Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression 支持光感受器富集基因表达大规模分析的计算方法
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.70
Haiying Wang, Huiru Zheng, F. Azuaje
{"title":"Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression","authors":"Haiying Wang, Huiru Zheng, F. Azuaje","doi":"10.1109/CBMS.2006.70","DOIUrl":"https://doi.org/10.1109/CBMS.2006.70","url":null,"abstract":"Retinal photoreceptor cells are responsible for light detection and phototransduction. The understanding of molecular mechanisms regulating photoreceptor gene expression during retinal development may have important implications in clinical neuroscience. Using self-adaptive neural networks and pattern validation statistical tools, this paper explores large-scale analysis of photoreceptor gene expression. Based on the analysis of data generated by serial analysis of gene expression (SA GE) in the developing mouse retina, significant expression patterns for the in silico detection of photoreceptor-enriched genes were revealed. This study demonstrates how machine learning and statistical techniques may be effectively combined to detect key complex relationships encoded in SA GE data. Such approaches may support inexpensive functional predictions prior to the application of experimental methodologies","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114996399","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
Rapid Answer Retrieval from Clinical Practice Guidelines at the Point of Care 快速回答检索从临床实践指南在护理点
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.138
S. Poon, R. Rocha, G. Fiol
{"title":"Rapid Answer Retrieval from Clinical Practice Guidelines at the Point of Care","authors":"S. Poon, R. Rocha, G. Fiol","doi":"10.1109/CBMS.2006.138","DOIUrl":"https://doi.org/10.1109/CBMS.2006.138","url":null,"abstract":"We describe and report preliminary results of a prototype XML-based method that facilitates the retrieval and navigation of common practice guidelines by physicians at the point of care. The method can be invoked by clicking at \"infobuttons\" linked to problems in an electronic medical record. Each infobutton displays a list of questions that are categorized and sorted according to the classification proposed by Ely et al. The navigation is achieved through hyperlinks from each question to relevant parts of the guideline. Preliminary results indicate high physician acceptance. A prospective evaluation is now being launched, with the expectation that it would confirm this method as an efficient option for retrieving information from reference documents","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115472544","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
A Generic Framework: From Clinical Notes to Electronic Medical Records 通用框架:从临床记录到电子医疗记录
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.13
Hyoil Han, Yoori Choi, Yoo Myung Choi, Xiaohua Zhou, A. Brooks
{"title":"A Generic Framework: From Clinical Notes to Electronic Medical Records","authors":"Hyoil Han, Yoori Choi, Yoo Myung Choi, Xiaohua Zhou, A. Brooks","doi":"10.1109/CBMS.2006.13","DOIUrl":"https://doi.org/10.1109/CBMS.2006.13","url":null,"abstract":"Electronic medical records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of information, largely in free-text form. This paper proposes a generic framework to semi-automatically extract and mine data from clinical note, automatically learn patterns for each physician's clinical notes, and automatically populate EMR databases for multi users. In this paper, we also develop a Web-based system with a relational database to automatically store data from medical information extraction (MedIE) system that extracts and mines a variety of patient information with breast complaints from semi-structured clinical records","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130032417","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: 4
Fighting the Semantic Gap on CBIR Systems through New Relevance Feedback Techniques 利用新的相关反馈技术对抗CBIR系统中的语义缺口
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.88
A. Traina, Joselene Marques, C. Traina
{"title":"Fighting the Semantic Gap on CBIR Systems through New Relevance Feedback Techniques","authors":"A. Traina, Joselene Marques, C. Traina","doi":"10.1109/CBMS.2006.88","DOIUrl":"https://doi.org/10.1109/CBMS.2006.88","url":null,"abstract":"This paper introduces two novel relevance feedback techniques that integrate a new way to implement the query center movement with a suitable weighting on the similarity function. These techniques integrated to a content-based image retrieval (CBIR) system, improves the precision of the results when using texture features up to 42%, and employing at most 5 iterations. Thus, the user satisfaction with the system is increased as our experiments demonstrated. Besides being effective, the new RF techniques are very fast as they take less than one second to reprocess the queries at each iteration. The experiments also show that with three iterations the users are satisfied with the query results, and the major gain in precision happens in the first iteration, achieving improvements of up to 30%, what lessens the user efforts and anxiety","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130548515","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
A Method for Fetal Heart Rate Extraction Based on Time-Frequency Analysis 基于时频分析的胎儿心率提取方法
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.16
E. Karvounis, M. Tsipouras, D. Fotiadis, K. Naka
{"title":"A Method for Fetal Heart Rate Extraction Based on Time-Frequency Analysis","authors":"E. Karvounis, M. Tsipouras, D. Fotiadis, K. Naka","doi":"10.1109/CBMS.2006.16","DOIUrl":"https://doi.org/10.1109/CBMS.2006.16","url":null,"abstract":"A three-stage method for fetal heart rate extraction, from abdominal ECG recordings, is proposed. In the first stage the maternal R-peaks and fiducial points (QRS onset and offset) are detected, using time-frequency analysis, and the maternal QRS complexes are eliminated. The second stage locates the positions of the candidate fetal R-peaks, using complex wavelets and pattern matching theory techniques. In the third stage, the fetal R-peaks that overlap with the maternal QRS complexes are found. The method is validated using a dataset of 4 long duration recordings and the obtained results indicate high detection ability of the method (96% accuracy)","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679128","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: 15
Properties of Confidentiality Requirements 保密要求的性质
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.133
A. Onabajo, J. Weber
{"title":"Properties of Confidentiality Requirements","authors":"A. Onabajo, J. Weber","doi":"10.1109/CBMS.2006.133","DOIUrl":"https://doi.org/10.1109/CBMS.2006.133","url":null,"abstract":"There is a growing concern to ensure personal information is protected in the emerging information society, and this can be attributed to the increasing incident of identity theft and confidentiality breach. There are also potential risks associated with mishandling personal information in the healthcare sector, for example, medical conditions, which should remain confidential, can be disclosed to unauthorized persons, subsequently leading to negative social and psychological effects on the affected individuals. Many governments and international agencies have developed legislations and guidelines to prevent misuse of personal information by organizations in their jurisdictions. However, there is a challenge in properly integrating the complex nature and interaction of confidentiality concerns in many information systems. This is because the concerns involve multiple interests - the data owner, the data custodian, potential users of the system, as well as government agencies, and they can be conflicting. In addition, the requirements are usually specified in free text form, which can be ambiguous and difficult to translate to software systems. A better understanding of confidentiality requirement properties will assist information system designers and developers in specifying and analyzing the requirements, and ultimately result in good \"confidentiality-aware\" systems. This research is aimed at developing an approach for improved specification, modelling and analysis of confidentiality requirements. In this paper, we describe the study to identify key confidentiality properties, which will enable precise specification of confidentiality requirements","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127695790","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
Blood Vessel Detection via a Multi-window Parameter Transform 基于多窗口参数变换的血管检测
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.63
Katia Estabridis, R. Figueiredo
{"title":"Blood Vessel Detection via a Multi-window Parameter Transform","authors":"Katia Estabridis, R. Figueiredo","doi":"10.1109/CBMS.2006.63","DOIUrl":"https://doi.org/10.1109/CBMS.2006.63","url":null,"abstract":"A parallel algorithm to detect retinal blood vessels has been developed for use in an automated diabetic retinopathy detection system. Localized adaptive thresholding and a multi-window Radon transform (RT) are utilized to detect the vascular system in retinal images. Multi-window parameter transforms are intrinsically parallel and offer increased performance over conventional transforms. The image is adoptively thresholded and then the multi-window RT is applied at different window sizes or partition levels. Results from each partition level are combined and morphologically processed to improve final performance. Multiple partitions are necessary to account for the size variation present in retinal blood vessels. The algorithm was tested with 20 images, 10 normal and 10 abnormal and the results demonstrate the robustness of the algorithm in the presence of noise. An average true positive rate of 86.3 % with a false positive rate of 3.9% is accomplished with this algorithm when tested against hand-labeled data","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121255741","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: 22
Toward Developing Multiple Organs and Diseases Diagnosing Intellectual System referring to Knowledge Base and CT Images 基于知识库和CT影像的多器官疾病诊断智能系统的构建
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.158
Tetsuya Satos, N. Abe, Kazuaki Tanaka, Y. Kinoshita, Shoujie He
{"title":"Toward Developing Multiple Organs and Diseases Diagnosing Intellectual System referring to Knowledge Base and CT Images","authors":"Tetsuya Satos, N. Abe, Kazuaki Tanaka, Y. Kinoshita, Shoujie He","doi":"10.1109/CBMS.2006.158","DOIUrl":"https://doi.org/10.1109/CBMS.2006.158","url":null,"abstract":"The performance improvement of radiation diagnosis devices makes it possible to get detailed medical images. The objective of this research is to develop a computer aided diagnosis system that uses advanced information of images for various kinds of internal organs and diseases. In order to make the computer aided diagnosis system do the work, as it must presume position of internal organs, the spine is used as a landmark of positional presumption. The position of each spine is recognized from the CT data, and the lungs area is extracted based on the result. We think it possible for the computer aided diagnosis system to inform radiologists about abnormality regions when the image data processing algorithm about several organs is integrated with positional presumption of organs in the future","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663012","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
Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata 用分类细胞自动机在显微镜图像中识别淋巴瘤
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.97
P. P. Bržan, M. Verlic, P. Kokol, José L. Sánchez, J. Sigut
{"title":"Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata","authors":"P. P. Bržan, M. Verlic, P. Kokol, José L. Sánchez, J. Sigut","doi":"10.1109/CBMS.2006.97","DOIUrl":"https://doi.org/10.1109/CBMS.2006.97","url":null,"abstract":"We present the results of a supervised approach for identification of follicular lymphomas in microscopy images. A new feature extraction approach is presented. The proposed discriminative features intend to emphasize the distinction among pixels on follicle contour. Additionally those features are used for supervised learning using classificational cellular automata (CCA) approach with the aim to obtain a general decision support model for classification of follicle contours on the microscopy images","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126495349","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
Towards the Management of Information Quality in Proteomics 蛋白质组学信息质量管理研究
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.160
A. Preece, Binling Jin, P. Missier, Suzanne M. Embury, D. Stead, Al Brown
{"title":"Towards the Management of Information Quality in Proteomics","authors":"A. Preece, Binling Jin, P. Missier, Suzanne M. Embury, D. Stead, Al Brown","doi":"10.1109/CBMS.2006.160","DOIUrl":"https://doi.org/10.1109/CBMS.2006.160","url":null,"abstract":"We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of importance in their particular domain, by extending a generic ontology of IQ concepts. Two quality indicators are defined for proteomic experiments: hit ratio and mass coverage. We describe how our framework allows experiments marked-up in a Standardformat (e.g. PEDRo) to be annotated with these computed indicators, and how the annotations can be viewed using a convenient plugin to the commonly-used Pedro data entry tool","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130964478","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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