Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data [0.03%]
基于真实世界数据的多任务和代价敏感学习在老年人慢性病死亡风险预测中的融合应用研究
Aosheng Cheng,Yan Zhang,Zhiqiang Qian et al.
Aosheng Cheng et al.
Background and objective: Real-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world da...
Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach [0.03%]
基于机器学习方法探讨中国老年人残疾的个体和情境预测因素
Yafei Wu,Zirong Ye,Zongjie Wang et al.
Yafei Wu et al.
Background: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older a...
Fine-grained subphenotypes in acute kidney injury populations based on deep clustering: Derivation and interpretation [0.03%]
基于深度聚类的急性肾损伤人群细粒度亚表型的划分与解读
Yongsen Tan,Jiahui Huang,Jinhu Zhuang et al.
Yongsen Tan et al.
Background: Acute kidney injury (AKI) is associated with increased mortality in critically ill patients. Due to differences in the etiology and pathophysiological mechanism, the current AKI criteria put it an embarrassmen...
Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study [0.03%]
评估心血管健康、肿瘤学和银屑病领域聊天机器人的响应质量和可读性：一项比较研究
Robert Olszewski,Klaudia Watros,Małgorzata Mańczak et al.
Robert Olszewski et al.
Background: Chatbots using the Large Language Model (LLM) generate human responses to questions from all categories. Due to staff shortages in healthcare systems, patients waiting for an appointment increasingly use chatb...
A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy [0.03%]
一种透明的机器学习算法发现了与2型糖尿病患者蜜丸单药治疗失败和治疗阻力相关的HbA1c模式
Nicoletta Musacchio,Rita Zilich,Davide Masi et al.
Nicoletta Musacchio et al.
Aims: This study aimed to identify and categorize the determinants influencing the intensification of therapy in Type 2 Diabetes (T2D) patients with suboptimal blood glucose control despite metformin monotherapy. ...
Health information systems with technology acceptance model approach: A systematic review [0.03%]
基于技术接受模型的健康信息系统研究综述
Gözde Tetik,Serkan Türkeli,Sevcan Pinar et al.
Gözde Tetik et al.
In the rapidly evolving landscape of information technologies, individuals and organizations must adapt to the digital age. Given the diversity in users' knowledge and experience with technology, their acceptance levels also vary. Over the ...
Optipharm: Enhancing pharmacological management skills in healthcare students for geriatric care through gamified e-learning [0.03%]
Optipharm：通过游戏化电子学习增强医疗学生在老年护理中的药理管理技能
Victoria Roncal-Belzunce,Marta Gutiérrez-Valencia,Icíar Echeverría-Beistegui et al.
Victoria Roncal-Belzunce et al.
Background: Complexities in older patient care and frequent polypharmacy requires tailored tools, specific skills and interdisciplinary collaborations. Traditional disease-centered education often overlooks these issues. ...
Technostress in Nuclear Medicine: A Qualitative Study of Causes, Mitigators, and Resolution Levels [0.03%]
核医学中的技术压力：原因、缓解因素和解决程度的定性研究
Raluca A Stana,Morten Hertzum
Raluca A Stana
Background: In contemporary healthcare, information and communication technology enables specialized treatment and efficient information sharing. However, it also causes stress and frustration, so-called technostress, amo...
Google trends in infodemiology: Methodological steps to avoid irreproducible results and invalid conclusions [0.03%]
谷歌趋势在信息流行病学中的应用：避免无法重复研究结果和无效结论的方法步骤
Alessandro Rovetta
Alessandro Rovetta
Background: Google Trends is a widely used tool for infodemiological surveys. However, irregularities in the random sampling and aggregation algorithms compromise the reliability of the relative search volume (RSV) and th...
Smartwatch interventions in healthcare: A systematic review of the literature [0.03%]
可穿戴设备在医疗保健中的应用：文献综述
Andreas Triantafyllidis,Haridimos Kondylakis,Dimitrios Katehakis et al.
Andreas Triantafyllidis et al.
Objective: The use of smartwatches has attracted considerable interest in developing smart digital health interventions and improving health and well-being during the past few years. This work presents a systematic review...