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2015 IEEE 28th International Symposium on Computer-Based Medical Systems最新文献

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3D Markup of Radiological Images in ePAD, a Web-Based Image Annotation Tool 基于web的图像注释工具ePAD中放射图像的3D标记
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.46
D. A. Moreira, Cleber Hage, E. F. Luque, Debra Willrett, D. Rubin
{"title":"3D Markup of Radiological Images in ePAD, a Web-Based Image Annotation Tool","authors":"D. A. Moreira, Cleber Hage, E. F. Luque, Debra Willrett, D. Rubin","doi":"10.1109/CBMS.2015.46","DOIUrl":"https://doi.org/10.1109/CBMS.2015.46","url":null,"abstract":"Quantitative and semantic information about medical images are vital parts of a radiological report. However, current image viewing systems do not record it in a format that permits machine interpretation. The ePAD tool can generate machine-computable image annotations on 2D images as part of a radiologist's routine workflow. The tool has been evaluated in image studies with good results. Since ePAD currently only provides 2D visualization and annotation of images, we developed a plugin to ePAD for the visualization of volumetric image datasets, using the three planes: axial, frontal and sagittal. A study with 6 radiologists was carried out to determine the best interface for also marking 3D ROIs. Video prototypes were created for 3 options: join pixels based on intensity similarity, detect borders around image features, and paint ROIs using a spheric 3D cursor. The 3D cursor was the preferred option. We present these results and also show the final 3D cursor implementation.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198815","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
Prehospital Electronic Record with Use of Mobile Devices in the SAMU's Ambulances in Ribeirão Preto-Brazil 巴西里贝赫<e:1>奥普雷托地区SAMU救护车中使用移动设备的院前电子记录
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.21
Alexandre Freitas Duarte, H. César, Andre Luis Mendes Marques, Paulo Mazzoncini de Azevedo Marques, Gerson Alves Pereira Junior
{"title":"Prehospital Electronic Record with Use of Mobile Devices in the SAMU's Ambulances in Ribeirão Preto-Brazil","authors":"Alexandre Freitas Duarte, H. César, Andre Luis Mendes Marques, Paulo Mazzoncini de Azevedo Marques, Gerson Alves Pereira Junior","doi":"10.1109/CBMS.2015.21","DOIUrl":"https://doi.org/10.1109/CBMS.2015.21","url":null,"abstract":"Mobile devices are emerging as an important technology to be incorporated into computerized health systems in order to enhance and support the health services provided to the patient. With the popularization of mobile and wireless technologies, the motivation and encouragement for the use of these technologies increases in support of the reliability and quality of data. An usability evaluation was conducted to identify problems and deficiencies presented in the mobile application. The combination of these two contexts creates a new term called mobile health, which has motivated much discussion of how greater access to mobile phone technology can be leveraged to mitigate the numerous pressures faced in the medical care of health systems. This paper presents the development of an electronic record system for tablets with a focus on pre-hospital patient care.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114315884","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
Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity 基于多类支持向量机的离散条件相型模型预测早产儿视网膜病变
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.78
Rebecca Rollins, A. Marshall, E. McLoone, S. Chamney
{"title":"Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity","authors":"Rebecca Rollins, A. Marshall, E. McLoone, S. Chamney","doi":"10.1109/CBMS.2015.78","DOIUrl":"https://doi.org/10.1109/CBMS.2015.78","url":null,"abstract":"Retinopathy of prematurity (ROP) is a rare disease in which retinal blood vessels of premature infants fail to develop normally, and is one of the major causes of childhood blindness throughout the world. The Discrete Conditional Phase-type (DC-Ph) model consists of two components, the conditional component measuring the inter-relationships between covariates and the survival component which models the survival distribution using a Coxian phase-type distribution. This paper expands the DC-Ph models by introducing a support vector machine (SVM), in the role of the conditional component. The SVM is capable of classifying multiple outcomes and is used to identify the infant's risk of developing ROP. Class imbalance makes predicting rare events difficult. A new class decomposition technique, which deals with the problem of multiclass imbalance, is introduced. Based on the SVM classification, the length of stay in the neonatal ward is modelled using a 5, 8 or 9 phase Coxian distribution.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117314321","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
Mining Symptoms of Severe Mood Disorders in Large Internet Communities 大型网络社区中严重情绪障碍症状的挖掘
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.36
T. Chomutare, E. Årsand, G. Hartvigsen
{"title":"Mining Symptoms of Severe Mood Disorders in Large Internet Communities","authors":"T. Chomutare, E. Årsand, G. Hartvigsen","doi":"10.1109/CBMS.2015.36","DOIUrl":"https://doi.org/10.1109/CBMS.2015.36","url":null,"abstract":"Internet communities have become an important source of support for people with chronic illnesses such as diabetes and obesity, both of which have been associated with depression. In this paper, we argue text classification as promising tool for mining mood disorder cues from Internet chat messages. We created a minimal corpus of 200 chat profiles, based on a disease classification system, ICD-10 diagnostic criteria, and DSM-IV depression definitions. Using significant grams, we trained and tested multiple classifiers on the corpus, with additional evaluation on unlabelled data. Current findings demonstrate the feasibility of scalable flagging of patients who areat risk of developing severe depression in large Internet health communities.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212567","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: 6
Minimum Data Consensus: Essential Information to Continuing Healthcare 最小数据一致性:持续医疗保健的基本信息
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.72
Milena Gomes Delfini, Newton Shydeo Brandão Miyoshi, Domingos Alves
{"title":"Minimum Data Consensus: Essential Information to Continuing Healthcare","authors":"Milena Gomes Delfini, Newton Shydeo Brandão Miyoshi, Domingos Alves","doi":"10.1109/CBMS.2015.72","DOIUrl":"https://doi.org/10.1109/CBMS.2015.72","url":null,"abstract":"A hospital generates daily large amounts of clinical, administrative and financial data. Given this production along with the growing use of technology, many information systems are designed to deal with all this information. The management of hospital data is handled differently in each region of the world, but despite all the social and cultural differences, it is possible to abstract a common concept: the hospital needs, which are used to create a minimum dataset that will allow the comparison of hospital records from different countries. The object of this project is the discharge summary, which is the document responsible for the patient's transition from hospital environment to primary care. This study aims to verify the minimum data required to be contained in the discharge sheet to ensure the continuity of care. For this we analyzed the CPDH's discharge sheet of the Ribeirão Preto Hospital, the ABNT's proposal for use in Brazil, Ireland, Scotland and Australia.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132876990","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
Stitched Multipanel Biomedical Figure Separation 缝合多面板生物医学图形分离
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.51
K. Santosh, Sameer Kiran Antani, G. Thoma
{"title":"Stitched Multipanel Biomedical Figure Separation","authors":"K. Santosh, Sameer Kiran Antani, G. Thoma","doi":"10.1109/CBMS.2015.51","DOIUrl":"https://doi.org/10.1109/CBMS.2015.51","url":null,"abstract":"We present a novel technique to separate subpanels from stitched multipanel figures appearing in biomedical research articles. Since such figures may comprise images from different imaging modalities, separating them is a critical first step for effective biomedical content-based image retrieval (CBIR). The method applies local line segment detection based on the gray-level pixel changes. It then applies a line vectorization process that connects prominent broken lines along the subpanel boundaries while eliminating insignificant line segments within the subpanels. We have validated our fully automatic technique on a subset of stitched multipanel biomedical figures extracted from articles within the Open Access subset of PubMed Central repository, and have achieved precision and recall of 81.22% and 85.08%, respectively.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130484552","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
Unsupervised Breast Masses Classification through Optimum-Path Forest 基于最优路径森林的无监督乳腺肿块分类
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.53
P. Ribeiro, Leandro A. Passos Junior, L. A. D. Silva, K. Costa, J. Papa, R. Romero
{"title":"Unsupervised Breast Masses Classification through Optimum-Path Forest","authors":"P. Ribeiro, Leandro A. Passos Junior, L. A. D. Silva, K. Costa, J. Papa, R. Romero","doi":"10.1109/CBMS.2015.53","DOIUrl":"https://doi.org/10.1109/CBMS.2015.53","url":null,"abstract":"Computer-Aided Diagnosis (CAD) can be divided into two main categories: CADe (Computer-Aided Detection), which is focused on the detection of structures of interest, as well as to assist radiologists to find out signals of interest that might be hidden to human vision, and the CADx (Computer-Aided Diagnosis), which works as a second observer, being responsible to give an opinion on a specific lesion. In CADe - based systems, the identification of mammograms with and without masses is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest. The main contribution of this study is to introduce the unsupervised classifier Optimum-Path Forest to identify breast masses, and to evaluate its performance against with two other unsupervised techniques (Gaussian Mixture Model and k-Means) using texture features from images obtained from a private dataset composed by 120 images with and without the presence of masses.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131344643","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
A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements 迈向帕金森氏症自动诊断的一步:分析笔迹动作
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.34
C. R. Pereira, D. R. Pereira, F. A. Silva, C. Hook, S. Weber, Luís A. M. Pereira, J. Papa
{"title":"A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements","authors":"C. R. Pereira, D. R. Pereira, F. A. Silva, C. Hook, S. Weber, Luís A. M. Pereira, J. Papa","doi":"10.1109/CBMS.2015.34","DOIUrl":"https://doi.org/10.1109/CBMS.2015.34","url":null,"abstract":"Parkinson's disease (PD) has affected millions of people world-wide, being its major problem the loss of movements and, consequently, the ability of working and locomotion. Although we can find several works that attempt at dealing with this problem out there, most of them make use of datasets composed by a few subjects only. In this work, we present some results toward the automated diagnosis of PD by means of computer vision-based techniques in a dataset composed by dozens of patients, which is one of the main contributions of this work. The dataset is part of a joint research project that aims at extracting both visual and signal-based information from healthy and PD patients in order to go forward the early diagnosis of PD patients. The dataset is composed by handwriting clinical exams that are analyzed by means of image processing and machine learning techniques, being the preliminary results encouraging and promising. Additionally, a new quantitative feature to measure the amount of tremor of an individual's handwritten trace called Mean Relative Tremor is also presented.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122418795","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: 77
Ubiquitous System for Stroke Monitoring and Alert 无所不在的脑卒中监测预警系统
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.23
Allan de Barcelos Silva, S. Rigo, J. Barbosa
{"title":"Ubiquitous System for Stroke Monitoring and Alert","authors":"Allan de Barcelos Silva, S. Rigo, J. Barbosa","doi":"10.1109/CBMS.2015.23","DOIUrl":"https://doi.org/10.1109/CBMS.2015.23","url":null,"abstract":"Research regarding stroke indicates that short elapsed time between accident and treatment can be fundamental to allow saving patient's life and avoid future sequels. This paper describes a model for monitoring and rescue victims in situations of possible stroke occurrence. It uses stroke symptoms that can be monitored by mobile equipment, ambient intelligence and artificial neural networks. The model is independent from human operation and applications or third parties devices, therefore adding facilities to increase the quality of life for people with stroke sequel, due to constant monitoring and follow-up provided, allowing the stroke patient to consider a recovery period with greater autonomy. A prototype based on free software platforms was developed, in order to assess the accuracy and the time elapsed between the prototype to detect and to send an alert. The results indicate a positive outlook for the work continuity.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"11 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131540942","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
Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals 基于高斯过程的小波参数特征选择:从生理信号预测急性低血压发作
2015 IEEE 28th International Symposium on Computer-Based Medical Systems Pub Date : 2015-06-22 DOI: 10.1109/CBMS.2015.88
Franck Dernoncourt, K. Veeramachaneni, Una-May O’Reilly
{"title":"Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals","authors":"Franck Dernoncourt, K. Veeramachaneni, Una-May O’Reilly","doi":"10.1109/CBMS.2015.88","DOIUrl":"https://doi.org/10.1109/CBMS.2015.88","url":null,"abstract":"Physiological signals such as blood pressure might contain key information to predict a medical condition, but are challenging to mine. Wavelets possess the ability to unveil location-specific features within signals but there exists no principled method to choose the optimal scales and time shifts. We present a scalable, robust system to find the best wavelet parameters using Gaussian processes (GPs). We demonstrate our system by assessing wavelets as predictors for the occurrence of acute hypotensive episodes (AHEs) using over 1 billion blood pressure beats. We obtain an AUROC of 0.79 with wavelet features only, and the false positive rate when the true positive rate is fixed at 0.90 is reduced by 14% when the wavelet feature is used in conjunction with other statistical features. Furthermore, the use of GPs reduces the selection effort by a factor of 3 compared with a naive grid search.","PeriodicalId":164356,"journal":{"name":"2015 IEEE 28th International Symposium on Computer-Based Medical Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134179669","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: 12
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