Evaluation of clinical named entity recognition methods for Serbian electronic health records [0.03%]
塞尔维亚电子健康记录的临床实体识别方法评估
Aleksandar Kaplar,Milan Stošović,Aleksandra Kaplar et al.
Aleksandar Kaplar et al.
Background and objectives: The importance of clinical natural language processing (NLP) has increased with the adoption of electronic health records (EHRs). One of the critical tasks in clinical NLP is named entity recogn...
Educational attainment and willingness to use technology for health and to share health information - The reimagining healthcare survey [0.03%]
教育水平与利用技术进行医疗和分享健康信息的意愿之间的关系——来自“重塑医疗保健调查”的数据
Crystal Man Ying Lee,Elizabeth Thomas,Richard Norman et al.
Crystal Man Ying Lee et al.
Background: Australia has seen a rapid uptake of virtual care since the start of the COVID-19 pandemic. We aimed to describe the willingness of consumers to use digital technology for health and to share their health info...
Biases in using social media data for public health surveillance: A scoping review [0.03%]
基于社交媒介数据进行公共卫生监测的偏向性：一项主题综述研究
Yunpeng Zhao,Xing He,Zheng Feng et al.
Yunpeng Zhao et al.
Objectives: A landscape scan of the methods that are used to either assess or mitigate biases when using social media data for public health surveillance, through a scoping review. ...
A comprehensive mobile health intervention to prevent and manage the complexities of opioid use [0.03%]
一种全面的移动健康干预措施 用于预防和管理阿片类药物使用的复杂性
Neetu Singh,Shanta R Dube,Upkar Varshney et al.
Neetu Singh et al.
Objectives: The Opioid Use crisis continues to be an epidemic with multiple known influencing and interacting factors. With the need for suitable opioid use interventions, we present a conceptual design of an m-health int...
The evaluation of digital transformation in renal transplantation in the United Kingdom: A national interview study [0.03%]
英国肾脏移植数字转型的评估：一项全国性访谈研究
Videha Sharma,Titus Augustine,John Ainsworth et al.
Videha Sharma et al.
Background: Care pathways in renal transplantation involve multi-speciality coordination and administration of clinical data across organisational boundaries. The potential for information technology (IT) to support the s...
The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight heparins and direct oral anticoagulants [0.03%]
关于减少低分子肝素和直接口服抗凝剂联合处方风险的电子警告的影响
Alison Brown,Gillian Cavell,Nikita Dogra et al.
Alison Brown et al.
Objective: To use the electronic prescribing system to identify how prescribers have responded to the duplicate 'Anticoagulant Alert' and the extent to which the system has prevented unintentional prescription of Low Mole...
Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study [0.03%]
一种测量用户对母乳喂养移动健康应用程序说服性设计原则感知的仪器的设计和内容有效性的验证：一项改良德尔菲研究
Alaa Ali S Almohanna,Khin Than Win,Shahla Meedya et al.
Alaa Ali S Almohanna et al.
Background: Persuasive design principles are increasingly employed in mHealth apps for motivating users and promoting healthy behaviours among individuals. However, how the persuasive design principles are perceived by th...
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis [0.03%]
基于非图像数据预测COVID-19的机器学习方法的准确性 meta分析
Kuang-Ming Kuo,Paul C Talley,Chao-Sheng Chang
Kuang-Ming Kuo
Objective: COVID-19 is a novel, severely contagious disease with enormous negative impact on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID-19 remains yet elusive. Recently, there...
Usability testing of the Philippine Electronic National Newborn Hearing Screening Registry (ENNHSR) [0.03%]
菲律宾电子全国新生儿听力筛查登记系统（ENNHSR）的用户体验测试
Rosario R Ricalde,Jonathan G Fabia,Carlos Diego A Rozul et al.
Rosario R Ricalde et al.
Purpose and objectives: The study determined the usability of the online and offline versions of the Philippine Electronic National Newborn Hearing Screening Registry (ENNHSR) as well as user perspectives and satisfaction...
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches [0.03%]
基于心电图的短期房颤检测：机器学习方法比较
Masud Shah Jahan,Marjan Mansourvar,Sadasivan Puthusserypady et al.
Masud Shah Jahan et al.
Background: Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmias, which challenges the healthcare systems globally.Timely detection of AF can potentially reduce the mortality and morbidity rates as we...