Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives [0.03%]
COVID-19大流行前后的重症监护病房中的治疗决策过程中，家属对于参与程度（理想程度）的变化：一项混合研究方法研究
Sophie C Renckens,H Roeline Pasman,Zina Jorna et al.
Sophie C Renckens et al.
Background: In the intensive care unit (ICU) relatives play a crucial role as surrogate decision-makers, since most patients cannot communicate due to their illness and treatment. Their level of involvement in decision-ma...
DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients [0.03%]
DeepVAQ：一种用于预测血液透析患者血管通路质量的自适应深度学习方法
Sarayut Julkaew,Thakerng Wongsirichot,Kasikrit Damkliang et al.
Sarayut Julkaew et al.
Background: Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring...
Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure [0.03%]
心力衰竭者支持体力活动的一个m Health工具的可用性和可行性分析
Andreas Blomqvist,Maria Bäck,Leonie Klompstra et al.
Andreas Blomqvist et al.
Background: Physical inactivity and a sedentary lifestyle are common among people with heart failure (HF), which may lead to worse prognosis. On an already existing mHealth platform, we developed a novel tool called the A...
Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data [0.03%]
使用匹配的电子牙科健康记录数据预测干燥综合症诊断
Jason Mao,Grace Gomez Felix Gomez,Mei Wang et al.
Jason Mao et al.
Background: Sjögren's disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through ea...
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques [0.03%]
深度学习技术在儿童和青年精神卫生门诊中预测急诊复诊的应用
Simran Saggu,Hirad Daneshvar,Reza Samavi et al.
Simran Saggu et al.
Background: The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent ...
Choice of refractive surgery types for myopia assisted by machine learning based on doctors' surgical selection data [0.03%]
基于医生手术选择数据的机器学习辅助选择治疗近视的屈光手术类型
Jiajing Li,Yuanyuan Dai,Zhicheng Mu et al.
Jiajing Li et al.
In recent years, corneal refractive surgery has been widely used in clinics as an effective means to restore vision and improve the quality of life. When choosing myopia-refractive surgery, it is necessary to comprehensively consider the di...
Xinyuan Zhang,Yixue Feng,Fang Li et al.
Xinyuan Zhang et al.
Background: In this era of big data, data harmonization is an important step to ensure reproducible, scalable, and collaborative research. Thus, terminology mapping is a necessary step to harmonize heterogeneous data. Tak...
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment [0.03%]
探索微调的BERT模型在神经放射学协议分配中的性能和可解释性
Salmonn Talebi,Elizabeth Tong,Anna Li et al.
Salmonn Talebi et al.
Background: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake ...
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms [0.03%]
使用机器学习算法预测进行血液透析的中毒患者的预后
Mitra Rahimi,Mohammad Reza Afrash,Shahin Shadnia et al.
Mitra Rahimi et al.
Background: Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites from the body during poisoning. Despite its effectiveness, there needs to be more research on this method precisely, with most s...
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric [0.03%]
通过迁移学习和二次加权kappa指标的集成学习进行可靠的眼底糖尿病视网膜病变分级
Sai Venkatesh Chilukoti,Liqun Shan,Vijay Srinivas Tida et al.
Sai Venkatesh Chilukoti et al.
The most common eye infection in people with diabetes is diabetic retinopathy (DR). It might cause blurred vision or even total blindness. Therefore, it is essential to promote early detection to prevent or alleviate the impact of DR. Howev...