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Technical Realization and First Insights of the Multicenter Integrative Breast Cancer Registry INTREST 多中心综合乳腺癌登记的技术实现和初步见解
T. Ostermann, Sebastian Unger, Michaela Warzecha, S. Appelbaum, D. R. Recchia, Holger Cramer, H. Haller
: Cancer is one of leading causes of mortality worldwide. According to GLOBOCAN database, 19.3 million new cancer cases and 10 million cancer deaths worldwide were counted in 2020. Thus, there is an absolute necessity for statistical data on cancer incidence and treatments. This is mainly done by cancer registries, which aim at collecting, managing, and analyzing health and demographic data on individuals diagnosed with cancer. As more and more patients make use of integrative oncology to optimize their health and quality of life during and after cancer treatment, it is important to gather clinical registry data of complementary as well as conventional cancer care. The INTREST registry is the first approach that aims to identify predictors of treatment-response in women undergoing individualized, integrative breast cancer treatment. This article reports on the technical realization and representativity of the registry based on 3,341 eligible women and 885 cases included in interim statistical analysis. The analyses show that the INTREST sample of women suffering from breast cancer does not significantly differ from population-based registries and pragmatic trial data of breast cancer patients in Germany with respect to main sociodemographic and clinical cancer data. However, completeness, particularly in tumor classification, currently is a major limitation.
癌症是全世界死亡的主要原因之一。根据GLOBOCAN数据库,2020年全球有1930万新发癌症病例和1000万癌症死亡。因此,关于癌症发病率和治疗的统计数据是绝对必要的。这主要是由癌症登记处完成的,其目的是收集、管理和分析被诊断患有癌症的个人的健康和人口数据。随着越来越多的患者在癌症治疗期间和治疗后使用综合肿瘤学来优化他们的健康和生活质量,收集补充和常规癌症治疗的临床登记数据变得非常重要。interest登记是第一个旨在确定接受个体化、综合乳腺癌治疗的妇女治疗反应预测因素的方法。本文以中期统计分析中包括的3341名符合条件的妇女和885个案例为基础,报告了登记处的技术实现和代表性。分析表明,在主要的社会人口学和临床癌症数据方面,interest的乳腺癌妇女样本与基于人口的登记和德国乳腺癌患者的实用试验数据没有显著差异。然而,完整性,特别是肿瘤分类,目前是主要的限制。
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引用次数: 0
IT-Structures and Algorithms for Quality Assurance in the Medical Advisory Service Institutions in Germany. Step 2: To err is Human. Consensus-Conferences 德国医疗咨询服务机构质量保证的it结构和算法。第二步:人无完人。共识会议
V. Ries, Klaus-Peter Thiele, Bernhard van Treeck, Sarah Schroeer, C. Witt, R. Schuster
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引用次数: 0
Improvement Potential of Business Models and Usability of Fitness Apps: Results of Expert Interviews and a User Study 健身应用商业模式和可用性的改进潜力:专家访谈和用户研究的结果
Leon Griesch, K. Sandkuhl
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引用次数: 0
A Mobile Application for Milano Ventilatore Meccanico: A First Prototype Milano Ventilatore Meccanico的移动应用程序:第一个原型
S. Bonfanti, A. Gargantini, L. Novelli
: In hospitals the need to have devices connected and accessible remotely is increasing, in order to continuously monitor patients. This need also arose for mechanical ventilators. In this paper, we introduce the first prototype of a mobile application to connect remotely to Milano Ventilatore Meccanico, a mechanical ventilator developed during COVID-19 pandemic. We show the process adopted to design and develop the first prototype in Android.
在医院,连接和远程访问设备的需求正在增加,以便持续监测患者。机械呼吸机也出现了这种需求。在本文中,我们介绍了第一个移动应用程序的原型,该原型可以远程连接到Milano Ventilatore Meccanico,这是一款在COVID-19大流行期间开发的机械呼吸机。我们展示了在Android上设计和开发第一个原型的过程。
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引用次数: 0
LifeSeniorProfile: A Multisensor Dataset for Elderly Real-time Activity Track LifeSeniorProfile:用于老年人实时活动跟踪的多传感器数据集
M. Much, Julio Sieg, Ayalon Angelo de Moraes Filho, Vanessa Bartoski, Guilherme Schreiber, C. Marcon
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引用次数: 0
On the Problem of Data Availability in Automatic Voice Disorder Detection 语音紊乱自动检测中数据可用性问题研究
D. Ribas, A. Miguel, A. Ortega, EDUARDO LLEIDA SOLANO
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引用次数: 0
A Protocol to Assess Usability and Feasibility of e-SpeechT, a Web-based System Supporting Speech Therapies 一个评估可用性和可行性的协议e-Speech,一个基于网络的支持语言治疗的系统
Vita Santa Barletta, Miriana Calvano, A. Curci, A. Piccinno
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引用次数: 1
Federated Health Recommender System 联邦健康推荐系统
Sarah Pinon, Simon Jacquet, Colin Vanden Bulcke, Edouard Chatzopoulos, Xavier Lessage, Raphaël Michel
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引用次数: 0
Analysis of Driving Behavior by Applying LDA Topic Model at Intersection Using VR Simulator 基于VR模拟器的LDA主题模型交叉口驾驶行为分析
H. Lee, Hosang Moon, Jaehoon Kim, Jaeheui Lee, Eunghyuk Lee, Sungtaek Chung
: The present study aims to analyze driving style and latent driving behavior typically at intersections where various driving habits show up. To this end, 6 different scenarios were simulated and data on the gaze of the drivers were analyzed using topic modeling. Their driving styles (topics) latent in the driver’s driving behaviors (words) following a driving scenario (document) were analyzed by using the latent dirichlet allocation of topic modeling, the most frequently used in discovering latent topics in documents generally made up of words. For the study, six participants in their twenties were selected whose driver licenses were more than a year old. They were asked to drive in a virtual reality simulator, while wearing a head mounted display capable of tracking their gazes. The experimental results showed that the less experienced the drivers were, the more frequently and longer they gazed at the navigation and the speed instrument panel and repeated the start and stop. On the other hand, the more experienced the drivers were, the more they gazed briefly at the objects within the car, maintained speed after glancing at the most distant objects, and applied braking only when necessary.
本研究旨在分析不同驾驶习惯在十字路口的典型驾驶风格和潜在驾驶行为。为此,模拟了6种不同的场景,并利用主题建模对驾驶员注视数据进行了分析。使用主题建模的潜狄利克雷分配方法(latent dirichlet allocation)对驾驶员在驾驶场景(文档)下的驾驶行为(单词)中潜在的驾驶风格(主题)进行了分析。潜狄利克雷分配是在一般由单词组成的文档中发现潜在主题最常用的方法。在这项研究中,选择了6名20多岁的参与者,他们的驾照都在一年以上。他们被要求在虚拟现实模拟器中驾驶,同时戴上能够追踪他们目光的头戴式显示器。实验结果表明,经验越少的驾驶员,盯着导航和速度仪表盘的次数和时间越长,重复启动和停止的次数也越多。另一方面,司机越有经验,他们就越会短暂地盯着车内的物体,在看了最远处的物体后保持速度,只在必要时才刹车。
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引用次数: 0
A Gait Analysis Tool Based on Machine Learning to Support the Rehabilitation Strategy of Post-stroke Patients 基于机器学习的步态分析工具支持脑卒中后患者康复策略
N. Balletti, G. Laudato, R. Oliveto
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引用次数: 0
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Proceedings of the International Conference on Health Informatics and Medical Application Technology
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