Development, reliability, and validity of the telerehabilitation satisfaction questionnaire in neurological diseases [0.03%]
神经疾病远程康复满意度问卷的编制、信度和效度研究
Sefa Eldemir,Kader Eldemir,Fettah Saygili et al.
Sefa Eldemir et al.
Background: Measuring satisfaction with telerehabilitation provides a way to evaluate and improve the effectiveness of both the technology used and the rehabilitation provided. On the other hand, valid and reliable tools ...
Implementing privacy preserving record linkage: Insights from Australian use cases [0.03%]
基于澳大利亚应用场景的隐私保护型记录链接实现方法研究
Sean Randall,Adrian Brown,Anna Ferrante et al.
Sean Randall et al.
Objective: To describe the use of privacy preserving linkage methods operationally in Australia, and to present insights and key learnings from their implementation. ...
Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients [0.03%]
滑动窗口技术在ICU心搏停止患者死亡预测中的有效性评估
Lihi Danay,Roni Ramon-Gonen,Maria Gorodetski et al.
Lihi Danay et al.
Extensive research has been devoted to predicting ICU mortality, to assist clinical teams managing critical patients. Electronic health records (EHR) contain both static and dynamic medical data, with the latter accumulating during ICU stay...
Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis [0.03%]
基于电子病历的深度表征学习可识别新冠肺炎的症状分型及其进展模式
Qiguang Zheng,Qifan Shen,Zixin Shu et al.
Qiguang Zheng et al.
Objective: Symptoms are significant kind of phenotypes for managing and controlling of the burst of acute infectious diseases, such as COVID-19. Although patterns of symptom clusters and time series have been considered t...
Development, validation, and usability evaluation of machine learning algorithms for predicting personalized red blood cell demand among thoracic surgery patients [0.03%]
开发、验证和用户评估机器学习算法以预测胸部手术患者个性化红细胞需求
Sujeong Hur,Junsang Yoo,Ji Young Min et al.
Sujeong Hur et al.
Introduction: Preparing appropriate red blood cells (RBCs) before surgery is crucial for improving both the efficacy of perioperative workflow and patient safety. In particular, thoracic surgery (TS) is a procedure that r...
Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records [0.03%]
基于真实世界乳腺癌病例的药物不良事件提取的领域适应评估
Gabriel Herman Bernardim Andrade,Tomohiro Nishiyama,Takako Fujimaki et al.
Gabriel Herman Bernardim Andrade et al.
Background: Adverse Drug Events (ADE) are key information present in unstructured portions of Electronic Health Records. These pose a significant challenge in healthcare, ranging from mild discomfort to severe complicatio...
Telehealth development in the WHO European region: Results from a quantitative survey and insights from Norway [0.03%]
欧洲卫生组织区域远程医疗发展定量调查结果及挪威经验教训
Monika Knudsen Gullslett,Elettra Ronchi,Lene Lundberg et al.
Monika Knudsen Gullslett et al.
Background: The COVID-19 pandemic sent shock waves through societies, economies, and health systems of Member States in the WHO European Region and beyond. During the pandemic, most countries transitioned from a slow to a...
A multi-scale feature selection module based architecture for the diagnosis of Alzheimer's disease on [18F]FDG PET [0.03%]
基于[18F]FDG-PET的阿尔茨海默病诊断的多尺度特征选择模块化结构
Yuling Wang,Shijie Chen,Xin Tian et al.
Yuling Wang et al.
Objective: Alzheimer's disease (AD) is a prevalent form of dementia worldwide as a cryptic neurodegenerative disease. The symptoms of AD will last for several years, which brings great mental and economic burden to patien...
A knowledge graph-based recommender system for dementia care: Design and evaluation study [0.03%]
基于知识图的痴呆照护推荐系统的设计与评价研究
Yue Sun,Minmin Leng,Weihua Lu et al.
Yue Sun et al.
Background: Caring for people with dementia is perceived as one of the most challenging caring roles, so effective and practical support is essential. One such innovative approach to internet-based tailored health interve...
Evaluating GenAI systems to combat mental health issues in healthcare workers: An integrative literature review [0.03%]
评估生成人工智能系统以应对医护人员心理健康问题的综合文献回顾
C Levin,E Naimi,M Saban
C Levin
Background: Mental health issues among healthcare workers remain a serious problem globally. Recent surveys continue to report high levels of depression, anxiety, burnout and other conditions amongst various occupational ...