External validation of the computer aided risk scoring system in predicting in-hospital mortality following emergency medical admissions [0.03%]
预测急诊入院后住院死亡率的计算机辅助风险评分系统的外部验证
Viveck Kingsley,Lisa Fox,David Simm et al.
Viveck Kingsley et al.
Background: Clinical prediction models have the potential to improve the quality of care and enhance patient safety outcomes. A Computer-aided Risk Scoring system (CARSS) was previously developed to predict in-hospital mo...
Impact of digital interventions and online health communities in patient activation: Systematic review and meta-analysis [0.03%]
数字化干预措施和在线健康社区对患者激活影响的系统评价和荟萃分析
Omnia Abdelraheem,Mohamed Salama,Sungsoo Chun
Omnia Abdelraheem
Objective: Study the efficacy of digital health interventions in enhancing patient activation and identify the distinct features of these interventions using the WHO classification system. ...
Usability of web-based tools designed for communication and decision-making in dementia: Systematic review and design brief [0.03%]
针对痴呆症设计的基于网络的沟通及决策工具的有效性的系统评价及设计概要
Fanny Monnet,Michael P Craven,Charlèss Dupont et al.
Fanny Monnet et al.
Introduction: There is an increased number of web-based tools designed for people with dementia and their family caregivers and addressing communication and decision-making. The loss of cognitive functions associated with...
A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services [0.03%]
基于数据的儿童和青少年心理健康服务决策辅助的信息来源和分析方法回顾
Kaban Koochakpour,Øystein Nytrø,Bennett L Leventhal et al.
Kaban Koochakpour et al.
Objective: Clinical data analysis relies on effective methods and appropriate data. Recognizing distinctive clinical services and service functions may lead to improved decision-making. Our first objective is to categoriz...
Deep learning-based platform performs high detection sensitivity of intracranial aneurysms in 3D brain TOF-MRA: An external clinical validation study [0.03%]
基于深度学习的平台在3D脑TOF-MRA中具有较高的颅内动脉瘤检测灵敏度：外部临床验证研究
Yuanyuan Li,Huiling Zhang,Yun Sun et al.
Yuanyuan Li et al.
Purpose: To evaluate the diagnostic efficacy of a developed artificial intelligence (AI) platform incorporating deep learning algorithms for the automated detection of intracranial aneurysms in time-of-flight (TOF) magnet...
Analysing disease trajectories in a cohort of 71,849 Patients: A visual analytics and statistical approach [0.03%]
基于71,849名患者队列的疾病轨迹分析：可视化数据分析与统计学方法
Jon Kerexeta-Sarriegi,Teresa García-Navarro,María Rollan-Martinez-Herrera et al.
Jon Kerexeta-Sarriegi et al.
Background: Disease trajectories have become increasingly relevant within the context of an aging population and the rising prevalence of chronic illnesses. Understanding the temporal progression of diseases is crucial fo...
Assessing metabolic risk factors for psychiatric patients: An IT-supported task shift from physician to pharmacist [0.03%]
评估精神疾病患者的代谢危险因素：从医师到药师的任务转移及其信息技术支持
Christine Flagstad Bech,Jesper Simonsen,Morten Hertzum
Christine Flagstad Bech
Background: Psychiatric medication can have adverse effects such as weight gain, which is a metabolic risk factor for the development of cardiovascular disease and diabetes. This study aimed to assess whether an IT-suppor...
Social mobile sensing and problematic alcohol consumption: Insights from smartphone metadata [0.03%]
社交移动感知和有问题的酒精消费：来自智能手机元数据的见解
Matthias Haucke,Stephan Heinzel,Shuyan Liu
Matthias Haucke
Background: Alcohol is often consumed in a social context. We aim to investigate whether social mobile sensing is associated with real-world social interactions and alcohol consumption. In addition, we investigate how soc...
Risk prediction model of metabolic syndrome in perimenopausal women based on machine learning [0.03%]
基于机器学习的围绝经期妇女代谢综合征发病风险预测模型研究
Wang Xiaoxue,Wang Zijun,Chen Shichen et al.
Wang Xiaoxue et al.
Introduction: Metabolic syndrome (MetS) is considered to be an important parameter of cardio-metabolic health and contributing to the development of atherosclerosis, type 2 diabetes. The incidence of MetS significantly in...
Perspectives on telehealth implementation in Australia: An exploratory qualitative study with practice managers and general practitioners [0.03%]
澳大利亚远程医疗服务实施现状：一项针对执业管理人员和全科医生的探索性定性研究
Feby Savira,Andrew Sanigorski,Kevin Mc Namara et al.
Feby Savira et al.
Background: There is a lack of understanding regarding the impact of telehealth on clinical delivery and the feasibility of sustained implementation by health services. The COVID-19 pandemic provided an ideal opportunity ...