CASIDE: A data model for interoperable cancer survivorship information based on FHIR [0.03%]
CASIDE：基于FHIR的可互操作癌症康复信息数据模型
Lorena González-Castro,Victoria M Cal-González,Guilherme Del Fiol et al.
Lorena González-Castro et al.
Cancer survivorship has traditionally received little research attention although it is associated with a variety of long-term consequences and also many other comorbidities. There is an urgent need to increase research on this area, and th...
GLA-Net: A global-local attention network for automatic cataract classification [0.03%]
GLA-Net：用于自动白内障分类的全局局部注意力网络
Xi Xu,Jianqiang Li,Yu Guan et al.
Xi Xu et al.
Cataracts are the most crucial cause of blindness among all ophthalmic diseases. Convenient and cost-effective early cataract screening is urgently needed to reduce the risks of visual loss. To date, many studies have investigated automatic...
EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models [0.03%]
EPIsembleVis：对多个COVID-19模型的预测集成进行地理可视化分析和比较
Haowen Xu,Andy Berres,Gautam Thakur et al.
Haowen Xu et al.
We present EPIsembleVis, a web-based comparative visual analysis tool for evaluating the consistency of multiple COVID-19 prediction models. Our approach analyzes a collection of COVID-19 predictions from different epidemiological models as...
On learning disentangled representations for individual treatment effect estimation [0.03%]
用于个体治疗效果估计的分离表示学习
Jiebin Chu,Zhoujian Sun,Wei Dong et al.
Jiebin Chu et al.
Objective: Estimating the individualized treatment effect (ITE) from observational data is a challenging task due to selection bias, which results from the distributional discrepancy between different treatment groups cau...
Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network [0.03%]
使用三维卷积网络可视化和量化相关帕金森步态模式
Luis C Guayacán,Fabio Martínez
Luis C Guayacán
Parkinson's disease (PD) lacks a definitive diagnosis, with the observation of motion patterns being the main method of characterizing disease progression and planning patient treatments. Among PD observations, gait motion patterns, such as...
Thomas Searle,Zina Ibrahim,James Teo et al.
Thomas Searle et al.
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often populate new documents by duplicating existing notes, then updating accordingly. Data duplication can lead to propagation of errors, incons...
A new methodological framework for hazard detection models in health information technology systems [0.03%]
健康信息技术系统中危害检测模型的新方法学框架
Olufemi A Omitaomu,Hilda B Klasky,Mohammed Olama et al.
Olufemi A Omitaomu et al.
The adoption of health information technology (HIT) has facilitated efforts to increase the quality and efficiency of health care services and decrease health care overhead while simultaneously generating massive amounts of digital informat...
Abuse detection in healthcare insurance with disease-treatment network embedding [0.03%]
基于疾病治疗网络嵌入的医疗保险欺诈检测
Jehyuk Lee,Sungzoon Cho
Jehyuk Lee
Abuse in healthcare insurance refers to a medical service or practice inconsistent with the generally accepted sound fiscal practices, such as overtreatment or overcharging. These types of abuses may lead to prescriptions that do not meet t...
Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data [0.03%]
采样频率不足偏心脏病变异性估计：从神经影像和生理数据中提取心率指标的影响
Joel S Burma,Andrew P Lapointe,Ateyeh Soroush et al.
Joel S Burma et al.
Background: While cardiac pulsations are widely present within physiological and neuroimaging data, it is unknown the extent this information can provide valid and reliable heart rate and heart rate variability (HRV) esti...
A practical approach towards causality mining in clinical text using active transfer learning [0.03%]
利用主动迁移学习在临床文本中进行因果关系挖掘的实用方法
Musarrat Hussain,Fahad Ahmed Satti,Jamil Hussain et al.
Musarrat Hussain et al.
Objective: Causality mining is an active research area, which requires the application of state-of-the-art natural language processing techniques. In the healthcare domain, medical experts create clinical text to overcome...