Blending citizen science with natural language processing and machine learning: Understanding the experience of living with multiple sclerosis [0.03%]
基于自然语言处理和机器学习的公民科学：了解多发性硬化症患者的生活体验
Christina Haag,Nina Steinemann,Deborah Chiavi et al.
Christina Haag et al.
The emergence of new digital technologies has enabled a new way of doing research, including active collaboration with the public ('citizen science'). Innovation in machine learning (ML) and natural language processing (NLP) has made automa...
Virtual care use among older immigrant adults in Ontario, Canada during the COVID-19 pandemic: A repeated cross-sectional analysis [0.03%]
加拿大安大略省老年人在新冠疫情期间使用虚拟护理的情况：一项重复横断面研究
Janette Brual,Cherry Chu,Jiming Fang et al.
Janette Brual et al.
The critical role of virtual care during the COVID-19 pandemic has raised concerns about the widening disparities to access by vulnerable populations including older immigrants. This paper aims to describe virtual care use in older immigran...
Electronic health record-based readmission risk model performance for patients undergoing outpatient parenteral antibiotic therapy (OPAT) [0.03%]
基于电子健康记录的门诊抗生素治疗患者的再入院风险模型性能评估
Richard Drew,Ethan Brenneman,Jason Funaro et al.
Richard Drew et al.
Background: Outpatient Parenteral Antibiotic Therapy (OPAT) provides coordinated services to deliver parenteral antibiotics outside of the acute care setting. However, the reduction in monitoring and supervision may impac...
Predictors of program interest in a digital health pilot study for heart health [0.03%]
数字化心脏健康的试点研究中计划兴趣的影响因素
Kimberly G Lockwood,Viveka Pitter,Priya R Kulkarni et al.
Kimberly G Lockwood et al.
Digital health programs can play a key role in supporting lifestyle changes to prevent and reduce cardiovascular disease (CVD) risk. A key concern for new programs is understanding who is interested in participating. Thus, the primary objec...
The potential use of non-fungible tokens (NFTs) in healthcare and medical research [0.03%]
非同质化代币（NFT）在医疗保健和医学研究中的潜在应用
Antonio Yaghy,Nicole Rose I Alberto,Isabelle Rose I Alberto et al.
Antonio Yaghy et al.
Non-fungible tokens (NFTs) are cryptographic assets recorded on the blockchain that can certify authenticity and ownership, and they can be used to monetize health data, optimize the process of receiving a hematopoietic stem cell transplant...
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework [0.03%]
基于增强智能的电子健康记录中长新冠特征的精准医疗框架回顾队列分析
Zachary H Strasser,Arianna Dagliati,Zahra Shakeri Hossein Abad et al.
Zachary H Strasser et al.
Physical and psychological symptoms lasting months following an acute COVID-19 infection are now recognized as post-acute sequelae of COVID-19 (PASC). Accurate tools for identifying such patients could enhance screening capabilities for the...
Real-world evidence from the first online healthcare analytics platform-Livingstone. Validation of its descriptive epidemiology module [0.03%]
来自第一个在线医疗保健分析平台的真实世界证据-Livingstone。对其描述性流行病学模块的验证
Benjamin R Heywood,Christopher Ll Morgan,Thomas R Berni et al.
Benjamin R Heywood et al.
Incidence and prevalence are key epidemiological determinants characterizing the quantum of a disease. We compared incidence and prevalence estimates derived automatically from the first ever online, essentially real-time, healthcare analyt...
Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning [0.03%]
基于埃塞俄比亚医疗记录的肺癌危险因素机器学习分析
Demeke Endalie,Wondmagegn Taye Abebe
Demeke Endalie
Cancer is a broad term that refers to a wide range of diseases that can affect any part of the human body. To minimize the number of cancer deaths and to prepare an appropriate health policy on cancer spread mitigation, scientifically suppo...
There's an App for it: A systematic review of mobile apps providing information about abortion using a revised MARS scale [0.03%]
一款关于堕胎的移动应用程序系统性评价及其MARS量表修订版的应用研究
Bianca M Stifani,Melanie Peters,Katherine French et al.
Bianca M Stifani et al.
Mobile applications (apps) are increasingly being used to access health-related information, but it may be challenging for consumers to identify accurate and reliable platforms. We conducted a systematic review of applications that provide ...
Modular Clinical Decision Support Networks (MoDN)-Updatable, interpretable, and portable predictions for evolving clinical environments [0.03%]
模块化临床决策支持网络（MoDN）-可更新、可解释且便携的预测在不断变化的临床环境中应用
Cécile Trottet,Thijs Vogels,Kristina Keitel et al.
Cécile Trottet et al.
Clinical Decision Support Systems (CDSS) have the potential to improve and standardise care with probabilistic guidance. However, many CDSS deploy static, generic rule-based logic, resulting in inequitably distributed accuracy and inconsist...