2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)最新文献_第10页

Knowledge artifacts as tools to communicate and develop knowledge in collaborative user-driven design 知识工件作为在协作用户驱动设计中交流和开发知识的工具

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266331

H. Lindgren

引用次数: 4

BioWizard: Discovering and validating associations between biological entities by integrated analysis of scientific literature and experimental data BioWizard:通过科学文献和实验数据的综合分析，发现和验证生物实体之间的关联

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266327

C. Spampinato, D. Giordano, I. Kavasidis, Sebastiano Milardo

{"title":"BioWizard: Discovering and validating associations between biological entities by integrated analysis of scientific literature and experimental data","authors":"C. Spampinato, D. Giordano, I. Kavasidis, Sebastiano Milardo","doi":"10.1109/CBMS.2012.6266327","DOIUrl":"https://doi.org/10.1109/CBMS.2012.6266327","url":null,"abstract":"In this paper, we present BioWizard, a bioinformatics knowledge discovery tool for extracting and validating implicit associations between biological entities. By mining specialized scientific literature, BioWizard not only generates biological hypotheses in the form of associations between genes, proteins and diseases, but also validates the plausibility of such associations against high-throughput biological data (microarrays) and annotated databases. The main novelties of the proposed approach are that: (1) it infers associations between biological entities by mining full text papers instead of only abstracts as usually performed by the existing tools, (2) a named entity recognition that improves the precision of the derived associations by enriching the vocabularies used in the mining loop with terms extracted directly from the text and, (3) the inferred associations are filtered according to their evidence in experimental data. We tested the precision and the recall of our system in retrieving known-associations (which did not appear in the same document) from gold standards and the results shown the ability of BioWizard in retrieving valid associations, thus providing a valuable tool for the use of biomedical researchers to speed up scientific progress.","PeriodicalId":187652,"journal":{"name":"2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333741","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

Empirical investigation of consensus clustering for large ECG data sets 大型心电数据集一致性聚类的实证研究

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266364

A. Kelarev, A. Stranieri, J. Yearwood, H. Jelinek

引用次数: 8

Automatic refinement of vascular tracking in retinal images: False vessels detection 视网膜图像中血管跟踪的自动细化:假血管检测

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266335

Lara Tramontan, A. Ruggeri

引用次数: 1

Supporting clinical trials to predict adverse events in the brain trauma domain 支持临床试验以预测脑外伤领域的不良事件

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266380

A. Stell, R. Sinnott, R. Donald, I. Chambers, G. Citerio, P. Enblad, B. Gregson, T. Howells, K. Kiening, P. Nilsson, A. Ragauskas, J. Sahuquillo, I. Piper

引用次数: 2

Image database clustering to improve microaneurysm detection in color fundus images 图像数据库聚类提高眼底彩色图像中微动脉瘤的检测

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266337

B. Nagy, B. Antal, A. Hajdu

引用次数: 4

Temporal data mining of order entry histories for characterization of medical practice 时序数据挖掘的订单输入历史特征的医疗实践

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266368

S. Tsumoto, S. Hirano, H. Iwata

引用次数: 2

Segmentation of vessels through supervised classification in wide-field retina images of infants with Retinopathy of Prematurity 早产儿视网膜病变婴儿大视场视网膜图像的监督分类血管分割

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266343

E. Poletti, A. Ruggeri

{"title":"Segmentation of vessels through supervised classification in wide-field retina images of infants with Retinopathy of Prematurity","authors":"E. Poletti, A. Ruggeri","doi":"10.1109/CBMS.2012.6266343","DOIUrl":"https://doi.org/10.1109/CBMS.2012.6266343","url":null,"abstract":"The earliest signs of Retinopathy of Prematurity (ROP) are tortuosity and dilation of retinal vessels, both considered of primary importance for the diagnosis and the follow-up of the disease. However, an accepted computerized system for their quantitative measurement is still missing. Vessel segmentation algorithms designed for adults' fundus images do not work well in infants' fundus images. In order to provide an accurate segmentation of the infant's retina vascularity we propose a supervised classification approach. The extracted feature set comprises multi-scales vesselness and texture features. Their combination allows the discrimination both between vessels and background, and between choroidal and retinal vessels. In order to reduce the computational complexity, the most useful subset of features to be fed to the classifier is determined employing a wrapper greedy forward-selection method. The performance of the proposed method is assessed by cross-validation on a dataset of 20 images acquired with a RetCam fundus camera. Average accuracy and Matthews' correlation coefficient are respectively 0.97 and 0.67 with respect to manual ground truth reference.","PeriodicalId":187652,"journal":{"name":"2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129386471","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

Advances in Data Mining for Biomedical Research 生物医学研究中的数据挖掘进展

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266291

N. Lavrač

引用次数: 1

Automated clinical coding using semantic atoms and topology 使用语义原子和拓扑的自动临床编码

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2012-06-20 DOI: 10.1109/CBMS.2012.6266386

Neil Barrett, J. Weber, Vincent Thai

引用次数: 9