Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review [0.03%]
多发性硬化症患者和医疗专业人员使用可穿戴设备的情况：范围审查
Shemah Alsulami,Stathis Th Konstantinidis,Heather Wharrad
Shemah Alsulami
Introduction: Multiple sclerosis (MS) is an increasingly prevalent chronic, autoimmune, and inflammatory central nervous system illness, whose common symptoms undermine the quality of life of patients and their families. ...
A customised down-sampling machine learning approach for sepsis prediction [0.03%]
用于败血症预测的定制化降采样机器学习方法
Qinhao Wu,Fei Ye,Qianqian Gu et al.
Qinhao Wu et al.
Objective: Sepsis is a life-threatening condition in the ICU and requires treatment in time. Despite the accuracy of existing sepsis prediction models, insufficient focus on reducing alarms could worsen alarm fatigue and ...
Online information for spontaneous coronary artery dissection (SCAD) survivors and their families: A systematic appraisal of content and quality of websites [0.03%]
自发性冠状动脉夹层（SCAD）幸存者及其家庭的在线信息：网站内容和质量的系统评估
Joseph Weddell,Danielle Jawad,Thomas Buckley et al.
Joseph Weddell et al.
Background: Spontaneous coronary artery dissection (SCAD) survivors often seek information online. However, the quality and content of websites for SCAD survivors is uncertain. This review aimed to systematically identify...
Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model [0.03%]
探索外科感染预测：已有的风险指数与新型模型的比较研究
Kjersti Mevik,Ashenafi Zebene Woldaregay,Alexander Ringdal et al.
Kjersti Mevik et al.
Background: Surgical site infections are a major health problem that deteriorates the patients' health and increases health care costs. A reliable method to identify patients with modifiable risk of surgical site infectio...
The effect of fear on health information searching behavior during the pandemic: The case of COVID-19 [0.03%]
恐惧对疫情期间健康信息检索行为的影响——以COVID-19为例
Mesut Teleş
Mesut Teleş
Background and objectives: Fear can cause people to panic, lead to erroneous decisions, and trigger inappropriate behavior. This study aims to investigate the effects of fear of COVID-19 on the perception of the reliabili...
A semi-automatic mHealth system using wearable devices for identifying pain-related parameters in elderly individuals [0.03%]
使用可穿戴设备识别老年人疼痛相关参数的半自动移动医疗系统
Dogukan Baran Gungormus,Francisco M Garcia-Moreno,Maria Bermudez-Edo et al.
Dogukan Baran Gungormus et al.
Background: Mobile health systems integrating wearable devices are emerging as promising tools for registering pain-related factors. However, their application in populations with chronic conditions has been underexplored...
Assessing the impact of real-time random safety audits through full propensity score matching on reliable data from the clinical information system [0.03%]
通过完整倾向性评分匹配评估临床信息系统可靠数据中实时随机安全审计的影响
Maria Bodí,Manuel A Samper,Gonzalo Sirgo et al.
Maria Bodí et al.
Background: Evidence-based care processes are not always applied at the bedside in critically ill patients. Numerous studies have assessed the impact of checklists and related strategies on the process of care and patient...
Early detection of late-onset neonatal sepsis from noninvasive biosignals using deep learning: A multicenter prospective development and validation study [0.03%]
利用深度学习从非侵入性生物信号中早期检测晚发新生儿败血症的多中心前瞻性开发与验证研究
Antti Kallonen,Milla Juutinen,Alpo Värri et al.
Antti Kallonen et al.
Background: Neonatal sepsis is responsible for significant morbidity and mortality worldwide. Its accurate and timely diagnosis is hindered by vague symptoms and the urgent necessity for early antibiotic intervention. The...
Human factor engineering of point-of-care near infrared spectroscopy device for intracranial hemorrhage detection in Traumatic Brain Injury: A multi-center comparative study using a hybrid methodology [0.03%]
用于创伤性脑损伤颅内出血检测的护理点近红外光谱设备的人体工程学：使用混合方法进行多中心比较研究
Jaimin Shah,Kaushik Vithalapara,Shilpa Malik et al.
Jaimin Shah et al.
Objective: This study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device's usability and human factor ergonomics in four distinct healthcare provider groups. ...
An assessment of ten popular pregnancy applications (Apps) available for women in Australia [0.03%]
澳大利亚广为使用的十款备孕应用程序(Apps)评估报告
Sithara Wanni Arachchige Dona,Mary Rose Angeles,Dieu Nguyen et al.
Sithara Wanni Arachchige Dona et al.
Objective: Given the growing popularity of health Apps, this study aimed to evaluate popular pregnancy Apps among Australian women. Design: ...