Design and usability testing of SmartSHOTS: A mobile app to reduce vaccine barriers for children 0-24 months [0.03%]
儿童疫苗接种移动应用SmartSHOTS的设计及可用性测试(0-24月龄)
Tami H Wyatt,Sarah Lowe,Jose Tupayachi et al.
Tami H Wyatt et al.
According to the Immunization Status Survey conducted by the Tennessee Department of Health in 2023, Tennessee ranks in the bottom 25th percentile among states for vaccination rates by the age of 24 months, based on the full series of recom...
Hypertensive disorders of pregnancy: The use of eHealth technologies in postpartum follow-up strategies to reduce cardiovascular risk - A scoping review [0.03%]
妊娠期高血压疾病的产后随访策略中使用数字技术降低心血管风险的系统综述性研究
Shahana Balakumaran,Bendik S Fiskå,Meryam Sugulle et al.
Shahana Balakumaran et al.
Objective: Women with prior hypertensive disorders of pregnancy (HDP) have increased risk of developing future cardiovascular disease. The objective of this scoping review was to map the literature regarding the use of eHealth measures in c...
A comprehensive framework for de-duplication: Acute kidney failure (AKF) case study [0.03%]
一种全面的去重框架：急性肾衰病例研究
Chomchanok Yawana,Wachiranun Sirikul,Juggapong Natwichai
Chomchanok Yawana
Objectives: Addressing data duplication is one of the most important issues in electronic health record (EHR) processing since the nature of data collection in the field. It does not only affect the data quality in healthcare management, bu...
Next-generation security for big data analytics in healthcare IoT using hybrid cryptographic techniques [0.03%]
基于混合加密技术的医疗物联网大数据分析下一代安全研究
Abdullah Alharbi,Wael Alosaimi,Masood Ahmad et al.
Abdullah Alharbi et al.
Big Data in Internet of Healthcare Things (IoHT) environments includes large volumes of structured and unstructured clinical information. The Hadoop Distributed File System (HDFS) is widely used for its scalability and ability to run on com...
A cross-sectional multilevel study on nurses' experiences with health information systems: A key to understanding documentation hazards and technology-induced errors in different working environments [0.03%]
一项关于护士在不同工作环境中使用健康信息系统的跨-sectional多水平研究：理解不同工作环境中的文档隐患和由技术引起错误的关键
Kaija Saranto,Samuli Koponen,Tuulikki Vehko
Kaija Saranto
Objective: This study aimed to investigate how nurses' backgrounds, documentation skills, and experiences with documentation practices and information systems usage influence documentation hazards and to determine whether these hazards are ...
Data-driven suicide risk prediction in patients suffering from chronic diseases using machine learning [0.03%]
基于数据驱动的机器学习重大疾病患者自杀风险预测模型研究
Nujud Aloshban
Nujud Aloshban
Suicide is a critical public health issue worldwide, influenced by environmental factors such as economic stress and limited social support, as well as individual risk factors. Patients with chronic health conditions may face heightened vul...
The use and perceived benefits of digital health services among Finnish older adults: Survey study [0.03%]
芬兰老年人使用数字健康服务的情况及其感知到的好处：调查研究
Paulus Torkki,Sanna Lakoma,Suvi Hiltunen et al.
Paulus Torkki et al.
Background: The rapid expansion of digital health services (DHS) highlights the need to assess their accessibility and effectiveness, particularly among older adults. Despite increasing digitalization, many older individuals still face barr...
Assessing RTS, S malaria vaccine rollout perception in Cameroon: Sentiment analysis from X and facebook using hugging face [0.03%]
基于Hugging Face平台的卡梅伦RTS,S疟疾疫苗推广感知评估：来自X和Facebook的情感分析
Adanze Nge Cynthia,Melvin Njuaka,Nana Koomson et al.
Adanze Nge Cynthia et al.
Background: The introduction of the RTS, S (Mosquirix®) malaria vaccine in Cameroon represents a significant public health milestone. This study analyzed social media sentiment surrounding the vaccine rollout using natural language process...
Inferential performance and temporal stability of large language models in suicide method prediction: A forensic psychiatric analysis [0.03%]
大型语言模型在自杀方式预测中的推断性能和时间稳定性：法医精神病学分析
Halit Canberk Aydogan,Hacer Yaşar Teke,Muhammet Sevindik et al.
Halit Canberk Aydogan et al.
Objective: This study presents a structured evaluation of large language models (LLMs) in predicting suicide methods based exclusively on indirect forensic psychiatric indicators. Methods: Ninety-two forensic psychiatric cases (2019-2024), ...
Exploring the potential of five machine learning regression algorithms for noninvasive blood pressure estimation with photoplethysmography [0.03%]
探索五种机器学习回归算法在基于光电容积描记法的无创血压估计中的潜力
Hanieh Mohammadi,Bahram Tarvirdizadeh,Khalil Alipour et al.
Hanieh Mohammadi et al.
Objective: Blood pressure (BP) is a vital factor for human health and survival, and its elevation and fluctuations can have dangerous consequences on an individual's well-being. Traditional BP measurement methods-including cuff-based device...