Barriers and facilitators for the implementation of electronic dental record systems: Perspectives from a developing country [0.03%]
发展中国家电子牙科记录系统实施的障碍与促进因素——一种视角观点分析
Boshra Farajollahi,Abbas Sheikhtaheri,Maryam Ahmadi
Boshra Farajollahi
Introduction: The need for dental data in healthcare services and the inadequacy of paper records due to their inherent limitations have led to a shift towards electronic dental record systems (EDR). Implementing EDR come...
Evaluation of the quality of oral hygiene mobile apps for children using the mobile app rating scale [0.03%]
使用移动应用程序评价量表对儿童口腔卫生手机APP质量进行评估
Ezgi Meriç
Ezgi Meriç
Background: With the increased use of smartphones, mobile applications (apps) aimed at promoting healthy behaviors have experienced exponential growth. Ob...
FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models [0.03%]
基于ELSA的老年人体弱数据集及其机器学习模型评估:FRELSA
Matteo Leghissa,Álvaro Carrera,Carlos Á Iglesias
Matteo Leghissa
Background: Frailty is an age-related syndrome characterized by loss of strength and exhaustion and associated with multi-morbidity. Early detection and prediction of the appearance of frailty could help older people age ...
BYOD security behaviour and preferences among hospital clinicians - A qualitative study [0.03%]
关于医疗机构医务人员的BYOD安全行为及偏好的定性研究
Tafheem Ahmad Wani,Antonette Mendoza,Kathleen Gray
Tafheem Ahmad Wani
Background/objective: The use of personal devices for work purposes (Bring-your-own-device) has increased in hospitals, as it facilitates productivity and mobility for clinicians. However, owing to increased risk of leaki...
Paving the way to establishing the digital-friendly health and care information model in Kazakhstan [0.03%]
在哈萨克斯坦建立数字友好型卫生和护理信息模型的途径探索
Zhaniya Nurgaliyeva,Yerbol Spatayev,Skender Syla et al.
Zhaniya Nurgaliyeva et al.
Introduction: Kazakhstan has made significant strides in digital health implementation since 2013, transitioning from paper-based systems to wide implementation of digital solutions. However, challenges persist, notably t...
Multisource Data Framework for Prehospital Emergency Triage in Real-Time IoMT-Based Telemedicine Systems [0.03%]
基于实时IoMT的院前急救多源数据框架
Abdulrahman Ahmed Jasim,Oguz Ata,Omar Hussein Salman
Abdulrahman Ahmed Jasim
Background and objective: The Internet of Medical Things (IoMT) has revolutionized telemedicine by enabling the remote monitoring and management of patient care. Nevertheless, the process of regeneration presents the diff...
Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models [0.03%]
基于Cox回归和机器学习模型的肺癌患者生存分析比较研究
Sebastian Germer,Christiane Rudolph,Louisa Labohm et al.
Sebastian Germer et al.
Introduction: Survival analysis based on cancer registry data is of paramount importance for monitoring the effectiveness of health care. As new methods arise, the compendium of statistical tools applicable to cancer regi...
Giovanni Delussu,Francesca Frexia,Cecilia Mascia et al.
Giovanni Delussu et al.
Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-concept [0.03%]
基于机器学习预测急性病区患者生理是否具备出院指征的可行性研究
S H Garssen,C A Vernooij,N Kant et al.
S H Garssen et al.
Introduction: Delays in discharging patients from Acute Medical Units hamper patient flows throughout the hospital. The decision to discharge a patient is mainly based on the patients' physiological condition, but may var...
Chatbots talk Strabismus: Can AI become the new patient Educator? [0.03%]
六条聊天机器人谈斜视：AI能成为新的患者教育工具吗？
İbrahim Edhem Yılmaz,Mustafa Berhuni,Zeynep Özer Özcan et al.
İbrahim Edhem Yılmaz et al.
Background: Strabismus is a common eye condition affecting both children and adults. Effective patient education is crucial for informed decision-making, but traditional methods often lack accessibility and engagement. Ch...