Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference, EFMI-STC 2021, Virtual Event / Seville, Spain, 22 - 24 November 2021

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引用次数: 1

Abstract

The proceedings contain 38 papers. The topics discussed include: encoding health records into pathway representations for deep learning;a learning framework for medical image-based intelligent diagnosis from imbalanced datasets;assessing acceptance level of a hybrid clinical decision support systems;a data-driven intervention framework for improving adherence to growth hormone therapy based on clustering analysis and traffic light alerting systems;best research practice implementation: the experience of the N.N. Burdenko National Medical Research Center of Neurosurgery;pilot study of an e-cohort to monitor adverse event for patient with hip prostheses from clinical data warehouse;extraction of temporal structures for clinical events in unlabeled free-text electronic health records in Russian;and automated modeling of clinical narrative with high definition natural language processing using Solor and analysis normal form.
应用公平原则加速后COVID-19时代欧洲卫生研究——2021年EFMI专题会议论文集,EFMI- stc 2021,虚拟活动/西班牙塞维利亚,2021年11月22日至24日
会议记录包含38篇论文。讨论的主题包括:将健康记录编码为用于深度学习的路径表示;基于不平衡数据集的基于医学图像的智能诊断的学习框架;评估混合临床决策支持系统的接受程度;基于聚类分析和交通灯警报系统的数据驱动干预框架,以提高对生长激素治疗的依从性;N.N. Burdenko国家神经外科医学研究中心的经验;从临床数据仓库中监测髋关节假体患者不良事件的电子队列的试点研究;从俄语无标记的自由文本电子健康记录中提取临床事件的时间结构;以及使用Solor进行高清晰度自然语言处理的临床叙述自动建模和分析范式。
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