Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia [0.03%]
嵌顿性腹股沟疝患者发生肠坏死的风险预测模型的建立
Jiajie Zhou,Xiaoming Yuan
Jiajie Zhou
Introduction: Incarceration occurred in approximately 5% to 15% of inguinal hernia patients, with around 15% of incarcerated cases progressing to intestinal necrosis, necessitating bowel resection surgery. Patients with i...
Machine learning based biomarker discovery for chronic kidney disease-mineral and bone disorder (CKD-MBD) [0.03%]
基于机器学习的慢性肾病矿物质和骨疾病(CKD-MBD)生物标志物发现
Yuting Li,Yukuan Lou,Man Liu et al.
Yuting Li et al.
Introduction: Chronic kidney disease-mineral and bone disorder (CKD-MBD) is characterized by bone abnormalities, vascular calcification, and some other complications. Although there are diagnostic criteria for CKD-MBD, in...
Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes [0.03%]
基于国际疾病分类第10版编码的急性肾损伤合并症分析
Menglu Wang,Guangjian Liu,Zhennan Ni et al.
Menglu Wang et al.
Objective: Acute kidney injury (AKI) is a clinical syndrome that occurs as a result of a dramatic decline in kidney function caused by a variety of etiological factors. Its main biomarkers, serum creatinine and urine outp...
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool intervention [0.03%]
患者在早期癌症临床试验参与的医患沟通中的价值观：实施在线价值澄清工具干预前后的定性分析
Liza G G van Lent,Mirte van der Ham,Maja J A de Jonge et al.
Liza G G van Lent et al.
Background: Patients with advanced cancer who no longer have standard treatment options available may decide to participate in early phase clinical trials (i.e. experimental treatments with uncertain outcomes). Shared dec...
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic [0.03%]
自动机器学习死亡率预测算法对COVID疫情引起的数据漂移的敏感性分析
Simone Maria Kagerbauer,Bernhard Ulm,Armin Horst Podtschaske et al.
Simone Maria Kagerbauer et al.
Background: Concept drift and covariate shift lead to a degradation of machine learning (ML) models. The objective of our study was to characterize sudden data drift as caused by the COVID pandemic. Furthermore, we invest...
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis [0.03%]
电子健康数据在测量吸烟状况中的有效性：系统性综述和荟萃分析
Md Ashiqul Haque,Muditha Lakmali Bodawatte Gedara,Nathan Nickel et al.
Md Ashiqul Haque et al.
Background: Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and el...
The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review [0.03%]
远程医疗患者满意度评价量表的开发：系统综述
Yifei Du,Yu Gu
Yifei Du
Background: Since the outbreak of the COVID-19 pandemic, telemedicine become more and more popular, patients attempt to use telemedicine to meet personal medical needs. Patient satisfaction is a key indicator of insight i...
Tudor Groza,Harry Caufield,Dylan Gration et al.
Tudor Groza et al.
Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders fie...
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies [0.03%]
临床叙述中氧补充的歧义消除以支持COVID-19的回顾性研究
Akhila Abdulnazar,Amila Kugic,Stefan Schulz et al.
Akhila Abdulnazar et al.
Background: Oxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain supplemental oxygen information within clinica...
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients [0.03%]
机器学习模型在脆性骨折患者住院时间预测中的应用
Chun-Hei Lai,Prudence Kwan-Lam Mok,Wai-Wang Chau et al.
Chun-Hei Lai et al.
Background: The rate of geriatric hip fracture in Hong Kong is increasing steadily and associated mortality in fragility fracture is high. Moreover, fragility fracture patients increase the pressure on hospital bed demand...