Development of a mobile application to represent food intake in inpatients: dietary data systematization [0.03%]
开发移动应用程序以展示住院患者的饮食摄入量：饮食数据系统化
Alan Renier Jamal Occhioni Molter,Naise Oliveira da Rocha Carvalho,Paloma Ribeiro Torres et al.
Alan Renier Jamal Occhioni Molter et al.
Background: Nutritional risk situations related to decreased food intake in the hospital environment hinder nutritional care and increase malnutrition in hospitalized patients and are often associated with increased morbi...
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis [0.03%]
医疗保健中合成时间序列生成方法的比较评估：利用患者元数据进行准确的数据综合
Imanol Isasa,Mikel Hernandez,Gorka Epelde et al.
Imanol Isasa et al.
Background: Synthetic data is an emerging approach for addressing legal and regulatory concerns in biomedical research that deals with personal and clinical data, whether as a single tool or through its combination with o...
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography [0.03%]
用于提高眼底摄影中表层视网膜膜检测的生成式深度学习模型的开发
Joon Yul Choi,Ik Hee Ryu,Jin Kuk Kim et al.
Joon Yul Choi et al.
Background: The epiretinal membrane (ERM) is a common retinal disorder characterized by abnormal fibrocellular tissue at the vitreomacular interface. Most patients with ERM are asymptomatic at early stages. Therefore, scr...
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture [0.03%]
使用改进的基于ResNet50的深度学习架构改善前列腺癌诊断
Fatma M Talaat,Shaker El-Sappagh,Khaled Alnowaiser et al.
Fatma M Talaat et al.
Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and e...
Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data [0.03%]
使用CatBoost算法和NHANES数据构建性别特异性性传播感染风险预测模型
Mengjie Hu,Han Peng,Xuan Zhang et al.
Mengjie Hu et al.
Background and aims: Sexually transmitted infections (STIs) are a significant global public health challenge due to their high incidence rate and potential for severe consequences when early intervention is neglected. Res...
Temporal topic model for clinical pathway mining from electronic medical records [0.03%]
来自电子病历的临床路径挖掘的时间主题模型
Wei Li,Xin Min,Panpan Ye et al.
Wei Li et al.
Background: In recent years, the discovery of clinical pathways (CPs) from electronic medical records (EMRs) data has received increasing attention because it can directly support clinical doctors with explicit treatment ...
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study [0.03%]
参与者特征以及不同意链接健康信息用于研究的原因：来自ATHENA COVID-19 研究的经验
Kim Greaves,Amanda King,Zoltan Bourne et al.
Kim Greaves et al.
Background: The linkage of primary care, hospital and other health registry data is a global goal, and a consent-based approach is often used. Understanding the attitudes of why participants take part is important, yet li...
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey [0.03%]
只有焦虑的人们？识别症状检查应用程序用户的特点：一项横断面调查
Anna-Jasmin Wetzel,Malte Klemmt,Regina Müller et al.
Anna-Jasmin Wetzel et al.
Background: Symptom checker applications (SCAs) may help laypeople classify their symptoms and receive recommendations on medically appropriate actions. Further research is necessary to estimate the influence of user char...
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis [0.03%]
Hybrid-FHR：一种用于自动胎儿酸中毒诊断的多模式人工智能方法
Zhidong Zhao,Jiawei Zhu,Pengfei Jiao et al.
Zhidong Zhao et al.
Background: In clinical medicine, fetal heart rate (FHR) monitoring using cardiotocography (CTG) is one of the most commonly used methods for assessing fetal acidosis. However, as the visual interpretation of CTG depends ...
Development and application of Chinese medical ontology for diabetes mellitus [0.03%]
糖尿病中医本体的建立与应用研究
Jie Hu,Zixian Huang,Xuewen Ge et al.
Jie Hu et al.
Objective: To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies. Materia...