Correction to: A software tool for applying Bayes' theorem in medical diagnostics [0.03%]
Correction to: 一种在医学诊断中应用贝叶斯定理的软件工具
Theodora Chatzimichail,Aristides T Hatjimihail
Theodora Chatzimichail
Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning [0.03%]
基于无监督表示学习的序列电子医疗数据患者分组发现方法研究
Jingteng Li,Kimberley R Zakka,John Booth et al.
Jingteng Li et al.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR). ...
Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis [0.03%]
人工智能算法预测急性呼吸窘迫综合征准确性的系统评价和Meta分析
Yaxin Xiong,Yuan Gao,Yucheng Qi et al.
Yaxin Xiong et al.
Background: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, early and accurate diagnosis and treatment are crucial for patient survival. This meta-analysis evaluates the accuracy of ar...
Insights into prescribing patterns for antidepressants: an evidence-based analysis [0.03%]
抗抑郁药处方模式的启示：基于证据的分析
Hua Min,Farrokh Alemi
Hua Min
Background: Antidepressants are a primary treatment for depression, yet prescribing them poses significant challenges due to the absence of clear guidelines for selecting the most suitable option for individual patients. ...
Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring [0.03%]
基于嵌入式ACC传感器的柔性贴片的尘肺病咳嗽识别技术用于远程监测
Jiawen Wang,Chunyan Min,Feng Yu et al.
Jiawen Wang et al.
Background: Many respiratory diseases such as pneumoconiosis require to close monitor the symptoms such as abnormal respiration and cough. This study introduces an automated, nonintrusive method for detecting cough events...
Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis [0.03%]
基于YOLOX计算机模型的膝关节功能评估相对于手动评估对于严重膝关节炎患者的可行性的研究
Tao Yang,Jie Zhao,Ben Wang et al.
Tao Yang et al.
Objective: This study aimed to assess the feasibility of computer model-based evaluation of knee joint functional capacity in comparison with manual assessment. ...
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation [0.03%]
基于简单LSTM和Siamese网络的虚拟患者模拟知识要点分类方法研究
Yih-Lon Lin,Yu-Min Chiang,Tsuen-Chiuan Tsai et al.
Yih-Lon Lin et al.
Background: In medical education, enhancing thinking skills is vital. The Virtual Diagnosis and Treatment Platform (VP) refines medical students' diagnostic abilities through interactive patient interviews (simulated pati...
Enhancing doctor-patient communication using large language models for pathology report interpretation [0.03%]
利用大型语言模型改进医生与患者之间的沟通以解读病理报告
Xiongwen Yang,Yi Xiao,Di Liu et al.
Xiongwen Yang et al.
Background: Large language models (LLMs) are increasingly utilized in healthcare settings. Postoperative pathology reports, which are essential for diagnosing and determining treatment strategies for surgical patients, fr...
The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study [0.03%]
患者使用的移动健康应用程序操作问卷（MAUQ）的波斯版本的心理测量学评估研究
Khadijeh Moulaei,Fatemeh Dinari,Abbas Sheikhtaheri et al.
Khadijeh Moulaei et al.
Introduction: The growing importance of mobile apps in osteoporosis management highlights the crucial need for evaluating their utility and usability, particularly for Osteoporosis support apps. Addressing this need, the ...
Determining the impact of mobile-based self-care applications on reducing anxiety in healthcare providers: a systematic review [0.03%]
移动应用程序减少医护人员焦虑影响的系统评价研究：基于自我管理类应用的效果分析
Mohammad Mahdi Askarizadeh,Leila Gholamhosseini,Reza Khajouei et al.
Mohammad Mahdi Askarizadeh et al.
Background: Healthcare providers (HCP) face various stressful conditions in hospitals that result in the development of anxiety disorders. However, due to heavy workloads, they often miss the opportunity for self-care. An...