Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms [0.03%]
使用机器学习预测麻醉后监护室(PACU)的准备情况：算法比较研究
Shahnam Sedigh Maroufi,Maryam Soleimani Movahed,Azar Ejmalian et al.
Shahnam Sedigh Maroufi et al.
Introduction: Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential to prevent postoperative complications and optimize hospital resource utilization. Premature discharge can lead to severe ...
COVID-19 vaccination and test management for healthcare workers-development, implementation and feasibility of a custom human resources information platform at a university hospital [0.03%]
COVID-19疫苗和检测管理在医疗卫生工作者中的应用——大学医院定制人力资源信息平台的开发、实施和可行性研究
Matthias Bonigut,Ana Zhelyazkova,Mathias Weber et al.
Matthias Bonigut et al.
Background: The continuously evolving legislative and reporting requirements during the COVID-19 pandemic posed the demand for establishing an efficient real-time human resources management system at the LMU University Ho...
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding [0.03%]
用于预测急性上消化道出血患者止血干预的机器学习模型的开发和验证
Kajornvit Raghareutai,Watcharaporn Tanchotsrinon,Onuma Sattayalertyanyong et al.
Kajornvit Raghareutai et al.
Background: Acute upper gastrointestinal bleeding (UGIB) is common in clinical practice and has a wide range of severity. Along with medical therapy, endoscopic intervention is the mainstay treatment for hemostasis in hig...
Peter Hill,Jakob Lederman,Daniel Jonsson et al.
Peter Hill et al.
Background: Emergency Medical Services (EMS) response times are critical for optimizing patient outcomes, particularly in time-sensitive emergencies. This study explores the multifaceted determinants of EMS response times...
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video) [0.03%]
基于Hill分类的人工智能辅助胃食管瓣功能评估系统的构建（含视频）
Jian Chen,Ganhong Wang,Kaijian Xia et al.
Jian Chen et al.
Objective: In the functional assessment of the esophagogastric junction (EGJ), the endoscopic Hill classification plays a pivotal role in classifying the morphology of the gastroesophageal flap valve (GEFV). This study ai...
Survival analysis using machine learning in transplantation: a practical introduction [0.03%]
移植中使用机器学习进行生存分析：实际介绍
Andrea Garcia-Lopez,Maritza Jiménez-Gómez,Andrea Gomez-Montero et al.
Andrea Garcia-Lopez et al.
Background: Survival analysis is a critical tool in transplantation studies. The integration of machine learning techniques, particularly the Random Survival Forest (RSF) model, offers potential enhancements to predictive...
Evaluation and validation of a clinical decision support system for dose optimisation in hospitalized patients with (morbid) obesity - a retrospective, observational study [0.03%]
临床决策支持系统在住院肥胖患者中的剂量优化评估与验证-一项回顾性观察研究
Lianne Brand,L Mitrov-Winkelmolen,T M Kuijper et al.
Lianne Brand et al.
Background: Obesity changes a patient's pharmacokinetics and pharmacotherapeutic advices should be personalized to ensure proper treatment. Currently, implementations of advices regarding the obese population are lacking ...
Observational Study
BMC medical informatics and decision making. 2025 Mar 19;25(1):140. DOI:10.1186/s12911-025-02963-3 2025
A study on large-scale disease causality discovery from biomedical literature [0.03%]
从生物医学文献中进行大规模疾病因果关系研究
Shirui Yu,Peng Dong,Junlian Li et al.
Shirui Yu et al.
Background: Biomedical semantic relationship extraction could reveal important biomedical entities and the semantic relationships between them, providing a crucial foundation for the biomedical knowledge discovery, clinic...
A novel method for subgroup discovery in precision medicine based on topological data analysis [0.03%]
基于拓扑数据分析的精准医学中子组发现的新方法
Ciara F Loughrey,Sarah Maguire,Paweł Dłotko et al.
Ciara F Loughrey et al.
Background: The Mapper algorithm is a data mining topological tool that can help us to obtain higher level understanding of disease by visualising the structure of patient data as a similarity graph. It has been successfu...
Prediction of Gestational Diabetes Mellitus (GDM) risk in early pregnancy based on clinical data and ultrasound information: a nomogram [0.03%]
基于临床资料和超声信息预测早孕妊娠糖尿病(GDM)风险：列线图分析
Tong Zhu,Lin Tang,Man Qin et al.
Tong Zhu et al.
Background: Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy and has been on a continuous increase in recent years. This study aimed to establish a combined prediction model for...