ReHouSED: A novel measurement of Veteran housing stability using natural language processing [0.03%]
基于自然语言处理的退伍军人住房稳定性的新测量方法：ReHouSED模型
Alec B Chapman,Audrey Jones,A Taylor Kelley et al.
Alec B Chapman et al.
Housing stability is an important determinant of health. The US Department of Veterans Affairs (VA) administers several programs to assist Veterans experiencing unstable housing. Measuring long-term housing stability of Veterans who receive...
Evaluation of the key active ingredients of 'Radix Astragali and Rehmanniae Radix Mixture' and related signaling pathways involved in ameliorating diabetic foot ulcers from the perspective of TCM-related theories [0.03%]
基于中医理论评价“黄芪红参 mixture”活性成分及改善糖尿病足溃疡相关信号通路研究
Shuyuan Fan,Xiaoli Shi,Annan Wang et al.
Shuyuan Fan et al.
Background and objective: Traditional Chinese Medicine is more inclined to holistic thinking than most modern pharmacological research. The multiple components and targets of traditional Chinese medicine have become a stu...
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system [0.03%]
基于上下文的多任务学习在临床决策支持系统中的统一概念和断言检测方法
Sankaran Narayanan,Pradeep Achan,P Venkat Rangan et al.
Sankaran Narayanan et al.
Assertions, such as negation and speculation, alter the meaning of clinical findings ('concepts') in Electronic Health Records. Accurate assertion detection is vital to the identification of target findings in clinical decision support syst...
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model [0.03%]
基于Transformer模型的季节性流感长期预测方法研究
Liang Li,Yuewen Jiang,Biqing Huang
Liang Li
Influenza is one of the most common infectious diseases worldwide, which causes a considerable economic burden on hospitals and other healthcare costs. Predicting new and urgent trends in epidemiological data is an effective way to prevent ...
A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments [0.03%]
一种新型分层机器学习模型用于多科室医院相关性静脉血栓栓塞症的风险评估
Handong Ma,Wenbo Sheng,Jiyu Li et al.
Handong Ma et al.
Venous thromboembolism (VTE) is a common vascular disease and potentially fatal complication during hospitalization, and so the early identification of VTE risk is of significant importance. Compared with traditional scale assessments, mach...
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data [0.03%]
基于电子数据采集系统的全新FAIR化：通过自动化转换填写的电子病例报告表单为机器可读取的数据
Martijn G Kersloot,Annika Jacobsen,Karlijn H J Groenen et al.
Martijn G Kersloot et al.
Introduction: Existing methods to make data Findable, Accessible, Interoperable, and Reusable (FAIR) are usually carried out in a post hoc manner: after the research project is conducted and data are collected. De-novo FA...
Mapping of critical events in disease progression through binary classification: Application to amyotrophic lateral sclerosis [0.03%]
通过二元分类进行疾病进展关键事件的映射及其在肌萎缩侧索硬化中的应用
Özden O Dalgıç,Haoran Wu,F Safa Erenay et al.
Özden O Dalgıç et al.
Background: The progression of many degenerative diseases is tracked periodically using scales evaluating functionality in daily activities. Although estimating the timing of critical events (i.e., disease tollgates) duri...
Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations [0.03%]
利用计算机可读素材增强叙述性临床指南：基于WHO建议编写的FHIR实施手册
Jennifer Shivers,Joseph Amlung,Natschja Ratanaprayul et al.
Jennifer Shivers et al.
Introduction: Narrative clinical guidelines often contain assumptions, knowledge gaps, and ambiguities that make translation into an electronic computable format difficult. This can lead to divergence in electronic implem...
Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia [0.03%]
基于卷积神经网络的蛋白质组学和代谢组学共病研究癌症与精神分裂症之间的关系
Arthur T Kopylov,Denis V Petrovsky,Alexander A Stepanov et al.
Arthur T Kopylov et al.
The association between cancer risk and schizophrenia is widely debated. Despite many epidemiological studies, there is still no strong evidence regarding the molecular basis for the comorbidity between these two pathological conditions. Th...
Nicholas Nicholson,Andrea Perego
Nicholas Nicholson
Enabling full interoperability within and between population-based patient-registry domains would open up access to a rich and unique source of health data for secondary data usage. Previous attempts to tackle patient-registry interoperabil...