Addressing the Covid-19 pandemic and future public health challenges through global collaboration and a data-driven systems approach [0.03%]
通过全球合作和数据驱动的系统方法应对新冠肺炎疫情和其他未来公共卫生挑战
Francisco Ros,Rebecca Kush,Charles Friedman et al.
Francisco Ros et al.
Covid-19 has already taught us that the greatest public health challenges of our generation will show no respect for national boundaries, will impact lives and health of people of all nations, and will affect economies and quality of life i...
Vasa Curcin
Vasa Curcin
Human phonemics responds to an urgent need in the medical research community; namely, reproducibility. Keywords: ...
Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records [0.03%]
利用电子健康记录进行阿尔茨海默病及相关痴呆症亚表型的data-driven发现
Jie Xu,Fei Wang,Zhenxing Xu et al.
Jie Xu et al.
Introduction: We sought to assess longitudinal electronic health records (EHRs) using machine learning (ML) methods to computationally derive probable Alzheimer's Disease (AD) and related dementia subphenotypes. ...
Development and evaluation of an EHR-based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System [0.03%]
基于EHR的可计算表型的发展与评估，用于识别国家级儿科学习健康系统中的克罗恩病患儿
Ritu Khare,Michael D Kappelman,Charles Samson et al.
Ritu Khare et al.
Objectives: To develop and evaluate the classification accuracy of a computable phenotype for pediatric Crohn's disease using electronic health record data from PEDSnet, a large, multi-institutional research network and L...
Fitness for purpose of routinely recorded health data to identify patients with complex diseases: The case of Sjögren's syndrome [0.03%]
常规记录的健康数据识别复杂疾病患者的目的适用性：Sjögren综合征的情况
Sytske Wiegersma,Linda E Flinterman,Chiara Seghieri et al.
Sytske Wiegersma et al.
Background: This study is part of the EU-funded project HarmonicSS, aimed at improving the treatment and diagnosis of primary Sjögren's syndrome (pSS). pSS is an underdiagnosed, long-term autoimmune disease that affects ...
Subphenotyping depression using machine learning and electronic health records [0.03%]
利用机器学习和电子健康记录对抑郁症进行亚表型分析
Zhenxing Xu,Fei Wang,Prakash Adekkanattu et al.
Zhenxing Xu et al.
Objective: To identify depression subphenotypes from Electronic Health Records (EHRs) using machine learning methods, and analyze their characteristics with respect to patient demographics, comorbidities, and medications....
Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use case [0.03%]
使用临床记录对以患者为中心的结果的严重程度进行分型：一个前列腺癌案例研究
Selen Bozkurt,Rohan Paul,Jean Coquet et al.
Selen Bozkurt et al.
Introduction: A learning health system (LHS) must improve care in ways that are meaningful to patients, integrating patient-centered outcomes (PCOs) into core infrastructure. PCOs are common following cancer treatment, su...
Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language [0.03%]
面向基于临床质量语言的跨平台电子健康记录表型分析
Pascal S Brandt,Richard C Kiefer,Jennifer A Pacheco et al.
Pascal S Brandt et al.
Introduction: Electronic health record (EHR)-driven phenotyping is a critical first step in generating biomedical knowledge from EHR data. Despite recent progress, current phenotyping approaches are manual, time-consuming...
Randi E Foraker,Albert M Lai,Thomas G Kannampallil et al.
Randi E Foraker et al.
Problem: The current coronavirus disease 2019 (COVID-19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response...
An application of Harrison's system theory model to spark a rapid telehealth expansion in the time of COVID-19 [0.03%]
Harrison系统理论模型在新冠疫情期间远程医疗快速扩张中的应用
Jonathan C Touson,Namita Azad,Corinne Depue et al.
Jonathan C Touson et al.
Introduction: In response to the COVID-19 pandemic, health systems had to quickly adopt a process for enabling targeted and patient-centered care delivery. This case study describes the utilization of Harrison's open-syst...