2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)最新文献_第10页

Estimating Berg Balance Scale and Mini Balance Evaluation System Test Scores by Using Wearable Shoe Sensors 利用可穿戴鞋传感器估算Berg平衡量表和Mini平衡评估系统测试成绩

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834631

Wenlong Tang, G. Fulk, S. Zeigler, Ting Zhang, E. Sazonov

{"title":"Estimating Berg Balance Scale and Mini Balance Evaluation System Test Scores by Using Wearable Shoe Sensors","authors":"Wenlong Tang, G. Fulk, S. Zeigler, Ting Zhang, E. Sazonov","doi":"10.1109/BHI.2019.8834631","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834631","url":null,"abstract":"Measuring humans' functional balance is important for clinical estimation of fall risk. Although many clinical assessments, such as Berg Balance Scale and Mini Balance Evaluation System Test, are available to test the functional balance, the results are affected by the skills of different operators. This paper proposes an objective approach to access the functional balance by a wearable sensor system embedded in the shoe and a hip accelerometer. Support Vector Machine regression models are built with numerical features selected by mRMR algorithm to estimate the scores of the clinical assessments. Leave one out cross validation is employed to evaluate the regression models. The approach is validated on a group of 30 seniors ($76pm 10.5$ years old), containing fallers and non-fallers. The results show that the wearable sensor system has a capability to estimate the Berg Balance Scale and Mini Balance Evaluation System Test scores with absolute mean errors and standard deviations $6.07pm 3.76$ and $5.45pm 3.65$, respectively, and demonstrates high agreement with falls history based risk assessment.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122820688","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: 9

Disruption of gene co-expression network along the progression of Alzheimer's disease 阿尔茨海默病进展过程中基因共表达网络的破坏

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834551

Yurika Upadhyaya, Linhui Xie, P. Salama, K. Nho, A. Saykin, Jingwen Yan

{"title":"Disruption of gene co-expression network along the progression of Alzheimer's disease","authors":"Yurika Upadhyaya, Linhui Xie, P. Salama, K. Nho, A. Saykin, Jingwen Yan","doi":"10.1109/BHI.2019.8834551","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834551","url":null,"abstract":"Alzheimer's disease (AD) is one of the most common brain dementia characterized by gradual deterioration of cognitive function. While it has been affecting an increasing number of aging population and become a nation-wide public health crisis, the underlying mechanism remains largely unknown. To address this problem, we propose to investigate the gene co-expression network changes along AD progression. Unlike extant work that focus on cognitive normals (CNs) and AD patients, we aim to capture the network changes during the full range of disease progression, from CN, early mild cognitive impairment (EMCI) to late MCI (LMCI) and AD. In addition, many existing differential co-expression network analyses estimate the network of each group independently, which may possibly lead to suboptimal results. Assuming that the gene co-expression patterns should be largely similar in consecutive disease stages, we propose to apply a modified joint graphical lasso model to estimate the networks of multiple diagnostic groups simultaneously. The permutation results shows that JGL model is much less likely to generate false positives with the similarity constraint. By comparing the estimated gene co-expression networks of all disease stages, we identified 8 clusters showing gradual changes during the progression of AD.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116860460","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

Open Framework for Mammography-based Breast Cancer Risk Assessment 基于乳房x光检查的乳腺癌风险评估开放框架

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834599

Said Pertuz, German F. Torres, R. Tamimi, Joni-Kristian Kämäräinen

{"title":"Open Framework for Mammography-based Breast Cancer Risk Assessment","authors":"Said Pertuz, German F. Torres, R. Tamimi, Joni-Kristian Kämäräinen","doi":"10.1109/BHI.2019.8834599","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834599","url":null,"abstract":"In recent years, several studies have established a relationship between mammographic parenchymal patterns and breast cancer risk. However, there is a lack of publicly available data and software for objective comparison and clinical validation. This paper presents an open and adaptable implementation (OpenBreast v1.0) of a fully-automatic computerized framework for mammographic image analysis for breast cancer risk assessment. OpenBreast implements mammographic image analysis in four stages: breast segmentation, detection of region-of-interests, feature extraction and risk scoring. For each stage, we provide implementations of several state-of-the-art methods. The pipeline is tested on a set of 305 full-field digital mammography images corresponding to 84 patients (51 cases and 49 controls) from the breast cancer digital repository (BCDR). OpenBreast achieves a competitive AUC of 0.846 in breast cancer risk assessment. In addition, used jointly with widely accepted risk factors such as patient age and breast density, mammographic image analysis using OpenBreast shows a statistically significant improvement in performance with an AUC of 0.876 ($mathrm{p}<0.001$). Our framework will be made publicly available and it is easy to incorporate new methods.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129430826","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

A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data 癌症登记数据二次使用的知识图谱方法

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834538

S. Hasan, D. Rivera, Xiao-Cheng Wu, J. B. Christian, G. Tourassi

{"title":"A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data","authors":"S. Hasan, D. Rivera, Xiao-Cheng Wu, J. B. Christian, G. Tourassi","doi":"10.1109/BHI.2019.8834538","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834538","url":null,"abstract":"Population-based central cancer registries collect valuable structured and unstructured cancer data primarily for surveillance and reporting. The collected data includes (1) categorization of each cancer case (tumor) at the time of diagnosis, (2) demographic information about the patient such as age, gender, and location at time of diagnosis, (3) first course of treatment information, and (4) survival outcomes when available. While advanced analytical approaches such as SEER*Stat and SAS exist, we provide a knowledge graph approach to organizing cancer registry data for advanced analytics which offers unique advantages over existing approaches. This knowledge graph approach semantically enriches the data and enables straightforward linking capability with third-party data to help understand variation in cancer outcomes. A knowledge graph was developed using Louisiana Tumor Registry data. We present the advantages of the knowledge graph approach by examining: i) scenario-specific queries and ii) linkages with publicly available external datasets. Our results demonstrate this graph based solution can perform complex queries, improve query run-time performance by 81%, and more easily conduct iterative analyses to enhance researchers understanding of cancer registry data.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122193716","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

Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data 稀疏离散组学数据的概率模型识别

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834661

Hani Aldirawi, Jie Yang, Ahmed A. Metwally

引用次数: 9

Centroid of Age Neighborhoods: A Generalized Approach to Estimate Biological Age 年龄邻域质心:一种估计生物年龄的广义方法

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834608

Syed A. Rahman, D. Adjeroh

引用次数: 2

Selecting the Mammographic-View for the Parenchymal Analysis-Based Breast Cancer Risk Assessment 乳腺实质分析为基础的乳腺癌风险评估选择乳房x线影像

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834461

Oscar Araque, María P. Mejía-Sandoval, Antti Sassi, K. Holli-Helenius, A. Lääperi, I. Rinta-Kiikka, O. Arponen, Said Pertuz

{"title":"Selecting the Mammographic-View for the Parenchymal Analysis-Based Breast Cancer Risk Assessment","authors":"Oscar Araque, María P. Mejía-Sandoval, Antti Sassi, K. Holli-Helenius, A. Lääperi, I. Rinta-Kiikka, O. Arponen, Said Pertuz","doi":"10.1109/BHI.2019.8834461","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834461","url":null,"abstract":"Mammography is one of the main diagnostic tools for the breast and is increasingly utilized for breast cancer risk assessment. Recently, parenchymal analysis has emerged as a computational tool that works by extracting imaging features from mammograms in order to infer the level of risk of a patient. In standard screening mammography, two views for each breast are obtained: the cranio-caudal (CC) and the medio-lateral oblique (MLO) views. However, to the best of our knowledge, the question of whether the choice of a given view can influence the performance of parenchymal analysis has not been researched in the literature. The aim of this work is to evaluate the utilization of different views for risk estimation based on the computerized analysis of parenchymal patterns in mammography images. We implemented a parenchymal analysis method and tested it on a sample of 228 women in a retrospective case/control study. Based on the obtained results we support the use of the CC view for parenchymal analysis since this reduces computational cost without affecting performance.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806877","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

Automated cell stage predictions in early mouse and human embryos using convolutional neural networks 使用卷积神经网络自动预测早期小鼠和人类胚胎的细胞阶段

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834541

J. Malmsten, N. Zaninovic, Q. Zhan, Z. Rosenwaks, Juan Shan

引用次数: 6

Efficient Skin Spectrum Coding Method 高效皮肤谱编码方法

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834679

Soyoung Lee, Karam Choi, Sung-Hyun Nam

引用次数: 0

Concept for a Permanent, Non-Invasive Blood Pressure Measurement in the Ear 永久性、无创耳内血压测量的概念

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Pub Date : 2019-05-01 DOI: 10.1109/BHI.2019.8834671

J. Zeilfelder, M. Diehl, C. Pylatiuk, W. Stork

{"title":"Concept for a Permanent, Non-Invasive Blood Pressure Measurement in the Ear","authors":"J. Zeilfelder, M. Diehl, C. Pylatiuk, W. Stork","doi":"10.1109/BHI.2019.8834671","DOIUrl":"https://doi.org/10.1109/BHI.2019.8834671","url":null,"abstract":"In this paper a concept for a new method for a permanent, non-invasive blood pressure measurement in the ear is presented. Currently, blood pressure is measured about once a day and used as the basis for therapy. In order to enable an individual and as mild as possible therapy, a permanent, noninvasive measuring method is required. With every heartbeat, the arteries in the body expand and contract. Blood pressure is the pressure acting on an artery, the higher the pressure the greater the enlargement. If the external auditory canal is closed airtight, the increase and decrease in size of the arteries during the heartbeat causes a change in volume of the closed air chamber and thus a pressure fluctuation within it. The theory is, that these fluctuations represent the blood pressure. In order to prove the theory a prototype was set up, containing a pressure sensor (integrated into an Alpine InEar for airtight sealing), a micro controller and a reference ECG. The sensor was placed airtight in the ear. One test person showed perfect results, in which after each heartbeat in the reference system a corresponding signal was also visible in the ear system. The recorded curve resembles a blood pressure curve, which proves that it is in principle possible to measure blood pressure with such a system. For absolute blood pressure values, the system must be supplemented with further components, this is being researched in the project MikroBO11https://www.elektronikforschung.de/projekte/mikrobo funded by the Federal Ministry of Education and Research of Germany.","PeriodicalId":281971,"journal":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321716","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