Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation [0.03%]
基于电子病历的机器学习方法预测冠脉介入术后30天不良心脏事件风险：机器学习模型研发与验证
Osung Kwon,Wonjun Na,Heejun Kang et al.
Osung Kwon et al.
Background: Although there is a growing interest in prediction models based on electronic medical records (EMRs) to identify patients at risk of adverse cardiac events following invasive coronary treatment, robust models ...
A Framework for Modeling and Interpreting Patient Subgroups Applied to Hospital Readmission: Visual Analytical Approach [0.03%]
应用于医院再入院的患者亚组的建模与解释框架：可视化分析方法
Suresh K Bhavnani,Weibin Zhang,Shyam Visweswaran et al.
Suresh K Bhavnani et al.
Background: A primary goal of precision medicine is to identify patient subgroups and infer their underlying disease processes with the aim of designing targeted interventions. Although several studies have identified pat...
Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation [0.03%]
基于深度神经网络和自然语言处理预测术后死亡率：模型研发与验证
Pei-Fu Chen,Lichin Chen,Yow-Kuan Lin et al.
Pei-Fu Chen et al.
Background: Machine learning (ML) achieves better predictions of postoperative mortality than previous prediction tools. Free-text descriptions of the preoperative diagnosis and the planned procedure are available preoper...
Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set [0.03%]
用于同时捕获大流行期间公共话题和情绪的深度神经网络：在COVID-19推特数据集上的应用
Adrien Boukobza,Anita Burgun,Bertrand Roudier et al.
Adrien Boukobza et al.
Background: Public engagement is a key element for mitigating pandemics, and a good understanding of public opinion could help to encourage the successful adoption of public health measures by the population. In past year...
Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review [0.03%]
儿科、新生儿和产妇住院患者败血症早期检测的计算机临床决策支持系统综述
Khalia Ackermann,Jannah Baker,Marino Festa et al.
Khalia Ackermann et al.
Background: Sepsis is a severe condition associated with extensive morbidity and mortality worldwide. Pediatric, neonatal, and maternal patients represent a considerable proportion of the sepsis burden. Identifying sepsis...
An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach [0.03%]
对法语COVID-19疫苗推文的分析：监督学习方法
Romy Sauvayre,Jessica Vernier,Cédric Chauvière
Romy Sauvayre
Background: As the COVID-19 pandemic progressed, disinformation, fake news, and conspiracy theories spread through many parts of society. However, the disinformation spreading through social media is, according to the lit...
Impact of a Machine Learning-Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices [0.03%]
基于机器学习的决策支持系统对尿路感染影响的前瞻性观察研究：36个基层医疗机构的研究结果
Willem Ernst Herter,Janine Khuc,Giovanni Cinà et al.
Willem Ernst Herter et al.
Background: There is increasing attention on machine learning (ML)-based clinical decision support systems (CDSS), but their added value and pitfalls are very rarely evaluated in clinical practice. We implemented a CDSS t...
Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018 [0.03%]
基于2015年至2018年芬兰5800万次患者访问的诊断聚类分析
Pasi Fränti,Sami Sieranoja,Katja Wikström et al.
Pasi Fränti et al.
Background: Multiple chronic diseases in patients are a major burden on the health service system. Currently, diseases are mostly treated separately without paying sufficient attention to their relationships, which result...
User Perceptions and Use of an Enhanced Electronic Health Record in Rwanda With and Without Clinical Alerts: Cross-sectional Survey [0.03%]
增强型电子健康记录在有或没有临床警报情况下的用户感知和使用：横断面调查
Hamish S F Fraser,Michael Mugisha,Eric Remera et al.
Hamish S F Fraser et al.
Background: Electronic health records (EHRs) have been implemented in many low-resource settings but lack strong evidence for usability, use, user confidence, scalability, and sustainability. ...
Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals [0.03%]
中国新兴在线卫生服务应对新冠疫情的经验与挑战：互联网医院的回顾性、横断面研究
Fangmin Ge,Huan Qian,Jianbo Lei et al.
Fangmin Ge et al.
Background: Internet-based online virtual health services were originally an important way for the Chinese government to resolve unmet medical service needs due to inadequate medical institutions. Its initial development ...