The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support [0.03%]
不确定状态下的社会体验——肺炎急诊诊疗的质性研究及决策支持设计
Peter Taber,Charlene Weir,Susan L Zickmund et al.
Peter Taber et al.
Background: This study sought to understand the process of clinical decision-making for suspected pneumonia by emergency departments (ED) providers in Veterans Affairs (VA) Medical Centers. The long-term goal of this work...
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers [0.03%]
基于转录组数据的胃肠道肿瘤突变负荷预测模型构建及验证
Beibei Hu,Guohui Yin,Jialin Zhu et al.
Beibei Hu et al.
Background: Tumor mutation burden (TMB) has been considered a biomarker for utilization of immune checkpoint inhibitors(ICIs), but whole exome sequencing(WES) and cancer gene panel(CGP) based on next generation sequencing...
Digital monitoring of medication safety in children: an investigation of ADR signalling techniques in Malaysia [0.03%]
马来西亚儿童药物安全数字监测：一项关于药品不良反应信号技术的调查研究
Beldona Hema Rekha,Shairyzah Ahmad Hisham,Izyan A Wahab et al.
Beldona Hema Rekha et al.
Background: Digital solutions can help monitor medication safety in children who are often excluded in clinical trials. The lack of reliable safety data often leads to either under- or over-dose of medications during clin...
Screening for undiagnosed atrial fibrillation using an electronic health record‒based clinical prediction model: clinical pilot implementation initiative [0.03%]
基于电子健康记录的临床预测模型在未诊断房颤筛查中的应用：临床试点实施方案
Randall W Grout,Mohammad Ateya,Baely DiRenzo et al.
Randall W Grout et al.
Background: Atrial fibrillation (AF) is a major risk factor for ischemic stroke, and early AF diagnosis may reduce associated morbidity and mortality. A 10-variable predictive model (UNAFIED) was previously developed to e...
Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi [0.03%]
提高马拉维ネ诺区卫生信息系统数据一致性、报告完整性和及时性的方法研究
Moses Banda Aron,Wiseman Emmanuel Nkhomah,Luckson Dullie et al.
Moses Banda Aron et al.
Background: Quality data is crucial in making informed decisions regarding health services; However, the literature suggests that in many LMICs including Malawi, it remains of poor quality. Data quality is measured in ter...
Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis [0.03%]
脊柱融合手术患者长期住院的预后模型的开发与验证：一项回顾性分析研究
Linghong Wu,Xiaozhong Peng,Yao Lu et al.
Linghong Wu et al.
Objective: To develop a nomogram model for the prediction of the risk of prolonged length of hospital stay (LOS) in spinal fusion patients. Methods: ...
Reza Abbasi,Mehrdad Farzandipour,Habiballah Rahimi et al.
Reza Abbasi et al.
Introduction: The pharmacy surveillance information system (PSIS) is intended to manage the dispensing practice of under-controlled drugs and substances. We designed and developed a PSIS for the first time in a developing...
A Decision Tree-Driven IoT systems for improved pre-natal diagnostic accuracy [0.03%]
基于决策树的物联网辅助产前诊断系统
Xuewen Yang,Ling Liu,Yan Wang
Xuewen Yang
Prenatal diagnostics are vital for the woman as well as her unborn baby. The diagnostics help in the early identification of the possibility of complication and the initial measures that help to ameliorate the mother and the fetus health st...
Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study [0.03%]
基于电子健康记录的自然语言处理自动化推导肺癌诊断标准的试点研究
Andrew Houston,Sophie Williams,William Ricketts et al.
Andrew Houston et al.
Background: The digitisation of healthcare records has generated vast amounts of unstructured data, presenting opportunities for improvements in disease diagnosis when clinical coding falls short, such as in the recording...
Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models [0.03%]
基于变换器的自然语言处理模型在紧急情况严重程度预测中的应用：结构化和非结构化数据集成的关联及预测研究
Xingyu Zhang,Yanshan Wang,Yun Jiang et al.
Xingyu Zhang et al.
Background: Efficient triage in emergency departments (EDs) is critical for timely and appropriate care. Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, ...