Integrating Electronic Health Records and Large Language Models for Coarse-to-Fine Hybrid Disease Prediction [0.03%]
基于电子健康记录和大型语言模型的粗细结合 hybrid 疾病预测方法
Chutong Wang,Mingda Li,Xuebing Yang et al.
Chutong Wang et al.
Background: Electronic health records (EHRs) have been widely adopted in recent years. However, diagnosis codes in EHRs are often high-dimensional, abstract, and follow a long-tailed distribution, limiting the effectiveness and interpretabi...
Electronic Health Record-Based Machine Learning Model for Predicting Disease Activity in Patients with Rheumatoid Arthritis [0.03%]
基于电子健康记录的机器学习模型在类风湿关节炎患者疾病活动度预测中的应用
Xiaoying Zhang,Chun Li,Zelin Yun et al.
Xiaoying Zhang et al.
Background: The use of initial clinical assessments to predict therapeutic outcomes via machine learning (ML) is a promising frontier in precision medicine. The study aims to construct ML models capable of predicting disease activity in pat...
Exploring the Relationship between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients Stratified by Serum Albumin Levels: A 12-Year Follow-Up Using Fine-Grained Electronic Medical Records Data [0.03%]
基于血清白蛋白水平分层的终末期肾病腹透患者营养状况与临床结局的关联：精细化电子医疗记录数据的12年随访研究
Yueying Wu,Junyi Gao,Wen Tang et al.
Yueying Wu et al.
End-stage renal disease (ESRD) significantly impacts patients' quality of life and poses substantial socioeconomic burdens. Dietary interventions are crucial for managing ESRD, yet high-quality evidence and analysis specifically linking die...
Michelle A Williams
Michelle A Williams
Digital and AI-Empowered Health Elements: An Integrated Pathway to Advancing Health [0.03%]
数字化和人工智能赋能的健康要素：迈向先进健康的综合路径
Pengfei Li,Ying Zhou,Yan Li et al.
Pengfei Li et al.
Health outcomes arise from complex and evolving interactions among biological, behavioral, social, environmental, and technological influences. The social determinants of health framework have played a central role in establishing the impor...
ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery [0.03%]
心电组学：一个用于AI心电图数字生物标志物发现的开放平台
Deyun Zhang,Jun Li,Shijia Geng et al.
Deyun Zhang et al.
Background: Conventional electrocardiography (ECG) analysis faces a persistent dichotomy: Expert-defined features provide interpretability but are limited in capturing latent high-dimensional patterns, whereas deep learning approaches achie...
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data [0.03%]
不规则采样医疗时间序列数据的深度学习方法综述
Chenxi Sun,Moxian Song,Derun Cai et al.
Chenxi Sun et al.
Importance: Medical time series constitute the largest data type in electronic health records and are often irregularly sampled in real-world clinical settings. Such irregularly sampled medical time series exhibit uneven time intervals, mis...
Impact of China's National Volume-Based Procurement Policy on the Affordability and Utilization of Tyrosine Kinase Inhibitors for Childhood Leukemia [0.03%]
国家带量采购政策对中国儿童白血病酪氨酸激酶抑制剂可及性和使用性的影响研究
Yiran Li,Yao Xie,Fanyu Liu et al.
Yiran Li et al.
Background: Leukemia is the most common childhood cancer. While tyrosine kinase inhibitors (TKIs) improve survival, they impose substantial economic burdens. This study evaluates the impact of China's National Volume-Based Procurement (NVBP...
Diagnostic Delays in Thoracic Cancer Care: A Data-Linkage, Cohort Study between Primary Care, Hospital, and Registry Data [0.03%]
胸部癌症诊疗中的诊断延误：来自基层医疗机构、医院和登记机构的数据链接队列研究
Jianrong Zhang,Maarten J IJzerman,Damien McCarthy et al.
Jianrong Zhang et al.
Background: Nearly half of patients with thoracic cancer are diagnosed at a late stage, contributing to poor survival. This may be due to delays in diagnosis. Methods: This study established a longitudinal cohort by linking data between pri...
Survival Modeling Using Deep Learning, Machine Learning, and Statistical Methods: A Comparative Analysis for Predicting Mortality After Hospital Admission [0.03%]
基于深度学习、机器学习和统计方法的生存模型预测住院后死亡率的比较分析
Ziwen Wang,Jin Wee Lee,Tanujit Chakraborty et al.
Ziwen Wang et al.
Background: Survival analysis is essential for studying time-to-event outcomes and providing a dynamic understanding of the probability of an event occurring over time. Various survival analysis techniques, from traditional statistical mode...