A phenome-wide association study of rurality in the All of Us Research Program [0.03%]
美国精准医学计划中关于居住地偏僻程度的性状组学关联研究
Anas H Awan,Katharine S Chaillet,Cassia Y Williams-Rogers et al.
Anas H Awan et al.
Objectives: Disease profiles and access to care differ between rural and urban populations. The aim of this study is to examine the association of rurality with electronic health record-derived disease profiles and heart ...
Identification of obesity risk factors in 3-12-year-old children and adolescents with prior respiratory tract infections via interpretable machine and deep learning models [0.03%]
基于可解释机器学习和深度学习模型的既往呼吸道感染儿童肥胖危险因素识别研究（3-12岁）
Xiao-Qian Wang,Fang-Jie-Yi Zheng,Qiong Wang et al.
Xiao-Qian Wang et al.
Backgrounds and objectives: Childhood obesity and respiratory tract infections (RTIs) are 2 major global public health issues that frequently co-occur and are closely interrelated. Early detection of children with prior R...
Colin M E Halverson,Haley Echols,Lauren Kang et al.
Colin M E Halverson et al.
Background: Clinicians are increasingly using emoji in digital communication, but limited qualitative work has examined how they assess the appropriateness, risks, and benefits of this practice. ...
Computable phenotypes for research using real-world data: experiences from the NIH pragmatic trials collaboratory [0.03%]
基于真实世界数据研究的可计算表型：来自美国国立卫生研究院实用试验协同体的经验
Marisa L Conte,Judith M Schlaeger,Guilherme Del Fiol et al.
Marisa L Conte et al.
Objectives: Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrat...
From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting [0.03%]
从预测到实践：在医院环境中用于磁共振成像预约未到场的机器学习模型和现实世界干预措施
Mark McMahon,Jonas Kluckert,Olivio F Donati et al.
Mark McMahon et al.
Objective: To develop a machine learning (ML) model to predict magnetic resonance imaging (MRI) appointment no-shows and test the effectiveness of a targeted phone call intervention in reducing the no-show rate. ...
Validating medical digital twins for clinical decision support: beyond predictive accuracy [0.03%]
医学数字孪生的验证在临床决策支持中的应用：不仅仅关注预测准确性
Alexandre Vallée
Alexandre Vallée
Objective: To clarify how validation requirements should be specified for medical digital twins used in clinical decision support, particularly when such systems are intended to compare interventions, treatment timings, d...
Real-world evaluation of a transformer-based natural language processing system for identifying social determinants of health from routine clinical documentation [0.03%]
基于变压器的自然语言处理系统识别常规临床文档中健康社会决定因素的真实世界评估
Xiangren Wang,Jingchuan Guo,Yi Guo et al.
Xiangren Wang et al.
Objectives: To evaluate the real-world performance of a transformer-based natural language processing (NLP) system for extracting Social Determinants of Health (SDoH) from clinical notes, using survey-based SDoH measures ...
A tabular prior-data fitted network-based prediction model integrating ferritin and total iron-binding capacity for 30-day all-cause mortality in critically ill cancer patients [0.03%]
基于表格的先验数据拟合网络预测模型在重症癌症患者中结合铁蛋白和总铁结合力预测30天全因死亡率
Lin-Lin Liu,Lei Han,Zuo-Lin Xiang
Lin-Lin Liu
Objectives: Accurately predicting outcomes for critically ill cancer patients remains challenging. This study aimed to integrate biologically relevant iron metabolism markers into short-term mortality prediction and to de...
Comparison of classification models for adolescent's emotional and behavioral problems [0.03%]
用于青少年情绪和行为问题分类模型的比较
Akhyt Tilyeubai,Javzmaa Tsend,Nyamdavaa Uugandavaa et al.
Akhyt Tilyeubai et al.
Objectives: Mental disorders are very common among children and adolescents around the world. In Mongolia, the international Strengths and Difficulties Questionnaire (SDQ) is used to detect mental disorders in adolescents...
Large language model-based extraction of rheumatoid arthritis clinical disease activity index from clinical notes [0.03%]
基于大型语言模型的类风湿关节炎临床疾病活动指数的提取
Reid Weisberg,Ruoqi Yang,Iram Kamdar et al.
Reid Weisberg et al.
Objectives: We extracted a validated disease activity measure in rheumatoid arthritis (RA), the Clinical Disease Activity Index (CDAI), from a large tertiary academic medical center electronic health record (EHR) using an...