How to establish and sustain a disease registry: insights from a qualitative study of six disease registries in the UK [0.03%]
英国六种疾病登记处的经验：建立和维持疾病登记处的方法学研究
Edmund Stubbs,Josephine Exley,Raphael Wittenberg et al.
Edmund Stubbs et al.
Background: The advent of new chronic conditions such as long COVID-19 raises the question of whether and, if so, how best to establish new disease registries for such conditions. Prompted by the potential need for a long...
Machine learning predicts pulmonary Long Covid sequelae using clinical data [0.03%]
基于临床数据的机器学习预测肺部长期新冠后遗症
Ermanno Cordelli,Paolo Soda,Sara Citter et al.
Ermanno Cordelli et al.
Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient's quality of life making it easier to develop...
Joshua Au Yeung,Anthony Shek,Thomas Searle et al.
Joshua Au Yeung et al.
Purpose of review: Embedding machine learning workflows into real-world hospital environments is essential to ensure model alignment with clinical workflows and real-world data. Many non-healthcare industries undergoing d...
Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review [0.03%]
临床决策中评估大型语言模型的定性指标：叙述性综述
Cindy N Ho,Tiffany Tian,Alessandra T Ayers et al.
Cindy N Ho et al.
Background: The large language models (LLMs), most notably ChatGPT, released since November 30, 2022, have prompted shifting attention to their use in medicine, particularly for supporting clinical decision-making. Howeve...
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study [0.03%]
中国急性A型主动脉夹层患者ICU再入院预测模型：回顾性研究
Hong Ni,Yanchun Peng,Qiong Pan et al.
Hong Ni et al.
Background: Readmission to the intensive care unit (ICU) remains a severe challenge, leading to higher rates of death and a greater financial burden. This study aimed to develop a nomogram-based prediction model for indiv...
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning [0.03%]
基于深度学习对心电图正常但可能存在严重冠脉狭窄患者的筛选研究
Zhengkai Xue,Shijia Geng,Shaohua Guo et al.
Zhengkai Xue et al.
Background: Patients with severe coronary arterystenosis may present with apparently normal electrocardiograms (ECGs), making it difficult to detect adverse health conditions during routine screenings or physical examinat...
Multimodal machine learning for language and speech markers identification in mental health [0.03%]
用于精神健康的语言和语音特征的多模态机器学习研究
Georgios Drougkas,Erwin M Bakker,Marco Spruit
Georgios Drougkas
Background: There are numerous papers focusing on diagnosing mental health disorders using unimodal and multimodal approaches. However, our literature review shows that the majority of these studies either use unimodal ap...
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data [0.03%]
基于电子病历数据创建数据中心以支持NSQHS血液管理标准的监测工作
David Cheng-Zarate,James Burns,Cathy Ngo et al.
David Cheng-Zarate et al.
Background: Blood management is an important aspect of healthcare and vital for the well-being of patients. For effective blood management, it is essential to determine the quality and documentation of the processes for b...
Healthcare dashboard technologies and data visualization for lipid management: A scoping review [0.03%]
血脂管理的医疗仪表板技术及数据可视化：一项概要性审查
Mahnaz Samadbeik,Teyl Engstrom,Elton H Lobo et al.
Mahnaz Samadbeik et al.
Background: Lipid disorders significantly increase cardiovascular disease (CVD) risk, the leading cause of mortality worldwide. Effective lipid management is critical for improving health outcomes. Traditional screening m...
Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling [0.03%]
结构方程模型下巴基斯坦儿童先天性心脏病预测模型研究
Sana Shahid,Haris Khurram,Muhammad Ahmed Shehzad et al.
Sana Shahid et al.
Background: The structural abnormality of the heart and its blood vessels at the time of birth is known as congenital heart disease. Every year in Pakistan, sixty thousand children are born with CHD, and 44 in 1000 die be...