Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data [0.03%]
基于CT影像和临床数据的视觉变换器及深度CNN的高危新冠肺炎患者预测方法
Sara Saberi Moghadam Tehrani,Maral Zarvani,Paria Amiri et al.
Sara Saberi Moghadam Tehrani et al.
Background: Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced cur...
Shanshan Wang,Yajing Yan,Rong Yan et al.
Shanshan Wang et al.
Background: A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver r...
Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review [0.03%]
识别新生儿和儿童用药临床决策支持系统的数据元素及功能：系统文献回顾
Somaye Norouzi,Zahra Galavi,Leila Ahmadian
Somaye Norouzi
Background: Patient safety is a central healthcare policy worldwide. Adverse drug events (ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in each stage of medication management proc...
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports [0.03%]
一种新颖的自然语言模型ClotCatcher：准确判定放射科报告中的静脉血栓栓塞
Jeffrey Wang,Joao Souza de Vale,Saransh Gupta et al.
Jeffrey Wang et al.
Introduction: Accurate identification of venous thromboembolism (VTE) is critical to develop replicable epidemiological studies and rigorous predictions models. Traditionally, VTE studies have relied on international clas...
Interpreting and coding causal relationships for quality and safety using ICD-11 [0.03%]
使用ICD-11解释和编码因果关系以保证质量和安全
Jean-Marie Januel,Danielle A Southern,William A Ghali
Jean-Marie Januel
Many circumstances necessitate judgments regarding causation in health information systems, but these can be tricky in medicine and epidemiology. In this article, we reflect on what the ICD-11 Reference Guide provides on coding for causatio...
Patients' perspectives and preferences toward telemedicine versus in-person visits: a mixed-methods study on 1226 patients [0.03%]
患者对远程医疗和面对面就诊的观点及偏好：一项关于1226名患者的混合研究
Khadijeh Moulaei,Abbas Sheikhtaheri,Farhad Fatehi et al.
Khadijeh Moulaei et al.
Introduction: Despite the fact that telemedicine can eliminate geographical and time limitations and offer the possibility of diagnosing, treating, and preventing diseases by sharing reliable information, many individuals...
Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial [0.03%]
减少急性呼吸道感染患者抗生素处方量的方案：基于一线护士领导的电子健康记录整合型临床决策支持工具的分阶段随机对照试验方案
Elizabeth R Stevens,Ruth Agbakoba,Devin M Mann et al.
Elizabeth R Stevens et al.
Background: Overprescribing of antibiotics for acute respiratory infections (ARIs) remains a major issue in outpatient settings. Use of clinical prediction rules (CPRs) can reduce inappropriate antibiotic prescribing but ...
Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization [0.03%]
基于住院第一天的电子健康记录和影响健康的多变量预测模型进行早期预测院内死亡率
Daniel Stoessel,Rui Fa,Svetlana Artemova et al.
Daniel Stoessel et al.
Background: In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patient...
Determining the content and needs assessment a mobile-based self-care program in infertile men [0.03%]
确定针对男性不孕症患者的移动自护项目的内容及需求评估
Azadeh Nadjarzadeh,Alireza Fallahzadeh,Arezoo Abasi et al.
Azadeh Nadjarzadeh et al.
Background: Infertility is a public health problem in the world, using new technology, such as mobile phones, is increasing in the field of health. This study aimed to determine the Necessity of self-care training content...
Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation [0.03%]
基于机器学习的射频消融治疗房颤手术并发症的风险模型
Rong Li,Lan Shen,Wenyan Ma et al.
Rong Li et al.
Background: Radiofrequency ablation (RFA) for atrial fibrillation (AF) is associated with a risk of complications. This study aimed to develop and validate risk models for predicting complications after radiofrequency abl...