Association between serum hypertriglyceridemia and hematological indices: data mining approaches [0.03%]
血清高甘油三酯与血液学指标之间的关系：数据挖掘方法
Somayeh Ghiasi Hafezi,Amin Mansoori,Alireza Kooshki et al.
Somayeh Ghiasi Hafezi et al.
Background: High triglyceride (TG) affects and is affected of other hematological factors. The determination of serum fasted triglycerides concentrations, as part of a lipid profile, is crucial key point in hematological ...
The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data [0.03%]
基于生成式人工智能工具的非结构化患者数据合成与标注的铝标准研究
Juan G Diaz Ochoa,Faizan E Mustafa,Felix Weil et al.
Juan G Diaz Ochoa et al.
Background: Medical narratives are fundamental to the correct identification of a patient's health condition. This is not only because it describes the patient's situation. It also contains relevant information about the ...
Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities [0.03%]
基于帕金森病应用的必备特征和能力评估相关移动应用程序
Hamid Azadi,Mohammad-Reza Akbarzadeh-Totonchi,Yones Jahani et al.
Hamid Azadi et al.
Background: Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Mobile technologies enable Parkinson's patients to improve their quality of life, manage symptoms, and enhanc...
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination [0.03%]
识别混杂因素并估计出生地对特定年龄儿童疫苗接种的因果影响
Ashagrie Sharew Iyassu,Haile Mekonnen Fenta,Zelalem G Dessie et al.
Ashagrie Sharew Iyassu et al.
Background: In causal analyses, some third factor may distort the relationship between the exposure and the outcome variables under study, which gives spurious results. In this case, treatment groups and control groups th...
Reusing routine electronic health record data for nationwide COVID-19 surveillance in nursing homes: barriers, facilitators, and lessons learned [0.03%]
复用电子健康记录数据在全国范围内对疗养院进行COVID-19监测：障碍、促进因素及经验教训
Y Wieland-Jorna,R A Verheij,A L Francke et al.
Y Wieland-Jorna et al.
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were...
Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions [0.03%]
评估人工智能聊天机器人生成的针对患者特异性药物治疗和医疗相关决策回复的准确性和质量
Meron W Shiferaw,Taylor Zheng,Abigail Winter et al.
Meron W Shiferaw et al.
Background: Interactive artificial intelligence tools such as ChatGPT have gained popularity, yet little is known about their reliability as a reference tool for healthcare-related information for healthcare providers and...
A nomogram to distinguish noncardiac chest pain based on cardiopulmonary exercise testing in cardiology clinic [0.03%]
基于心肺运动试验的非心脏性胸痛鉴别诊断卡普兰图
Mingyu Xu,Rui Li,Bingqing Bai et al.
Mingyu Xu et al.
Background: Psychological disorders, such as anxiety and depression, are considered to be one of the causes of noncardiac chest pain (NCCP). And these patients can be challenging to differentiate from coronary artery dise...
Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV) [0.03%]
基于MIMIC-IV预测心力衰竭合并房颤住院患者死亡的堆叠集成模型分析
Panpan Chen,Junhua Sun,Yingjie Chu et al.
Panpan Chen et al.
Background: Heart failure (HF) and atrial fibrillation (AF) usually coexist and are associated with a poorer prognosis. This study aimed to develop a model to predict in-hospital mortality in patients with HF combined wit...
Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network [0.03%]
基于双重判别器和生成器的生成对抗网络的融合驱动半监督学习肺结节分类方法
Ahmed Saihood,Wijdan Rashid Abdulhussien,Laith Alzubaid et al.
Ahmed Saihood et al.
Background: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suf...
Automated redaction of names in adverse event reports using transformer-based neural networks [0.03%]
基于变压器的神经网络在不良事件报告中自动删除姓名的方法
Eva-Lisa Meldau,Shachi Bista,Carlos Melgarejo-González et al.
Eva-Lisa Meldau et al.
Background: Automated recognition and redaction of personal identifiers in free text can enable organisations to share data while protecting privacy. This is important in the context of pharmacovigilance since relevant de...