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...
Multimodal Artificial Intelligence for Precision Critical Care: A Scoping Review [0.03%]
精准重症监护的多模态人工智能：系统综述
Meicheng Yang,Nan Shi,Hui Chen et al.
Meicheng Yang et al.
Background: Intensive care units (ICUs) generate large, heterogeneous data from critically ill patients. Multimodal artificial intelligence (AI), which integrates diverse data modalities within unified models, offers substantial potential f...
Enhancing Alzheimer's Disease and Related Dementia Burden Projections and Policy Targeting in China [0.03%]
提升中国阿尔茨海默病及相关痴呆负担预测和政策目标
Chuanqian Liu
Chuanqian Liu
Enhancing Alzheimer's Disease and Related Dementia Burden Projections and Policy Targeting in China-Reply [0.03%]
关于增强中国阿尔茨海默病及相关痴呆负担预测和政策目标的回复
Xinyi Liu,Luxia Zhang,Yan Li
Xinyi Liu
Association of Visceral Fat Mass Index with Diabetes and Vascular Complications: NHANES 2011-2018 Cross-Sectional Study [0.03%]
内脏脂肪质量指数与糖尿病和血管并发症的关系：2011-2018年NHANES横断面研究
Yao Wang,Xingyu He,Guangya Xu et al.
Yao Wang et al.
Background: Visceral fat mass index (vFMI), a key visceral obesity marker, is linked to insulin resistance and cardiovascular impairment. This study examined the relationship between vFMI, people living with diabetes, and its vascular compl...
Rest-Activity Timing Phenotypes and Mental Health: A Longitudinal Analysis of 24-Hour Accelerometry in Population-Based Cohorts [0.03%]
基于人群的队列中24小时加速计测量的精神疾病纵向研究：休息活动时间表与精神健康
Yanbo Wang,Lihui Zhou,Mengjing Zhu et al.
Yanbo Wang et al.
Background: Questionnaire-based chronotype measures may be affected by reporting bias. In contrast, 24-h accelerometry objectively captures rest-activity timing phenotypes as a behavioral proxy for chronotype. We examined whether accelerome...
Greenspace Exposure and the Incidence of Ocular and Adnexal Diseases: Novel Findings from a Large Prospective Cohort Study [0.03%]
绿色空间暴露与眼部及眼附属器疾病的发病率的关系：一项大型前瞻性队列研究的新发现
Zhuo-Hao Wang,Xiao-Qi Zhu,Elaine Fuertes et al.
Zhuo-Hao Wang et al.
Background: Evidence concerning greenspace and ocular and adnexal diseases (OADs) is scarce. Methods: This prospective cohort study followed 241,576 UK participants from baseline (2006-2010, age range: 37 to 73 years old) until May to Octob...
Artificial Intelligence-Enabled 8-Channel ECG Diagnosing of Abnormalities with Wide QRS Complexes [0.03%]
基于人工智能的8通道心电图宽QRS波异常诊断模型
Hongling Zhu,Qiushi Luo,Yao Wang et al.
Hongling Zhu et al.
Background: There is a substantial number of research exploring the application of artificial intelligence (AI) in identifying electrocardiogram (ECG) abnormalities related to heart rhythm or conduction with the 12-channel format. However, ...
The Role of Limited Emotion Regulation Strategies on Nonsuicidal Self-injury and Suicide Attempts among Chinese Adolescents: A Network Analysis Based on Jiangxi Province [0.03%]
基于江西省的网络分析：有限的情感调节策略在中国青少年非自杀性自我伤害和自杀企图中的作用
Hao Xu,Xuejing Xu,Yan Chen et al.
Hao Xu et al.
Background: Nonsuicidal self-injuries (NSSIs) are an important contributing factor to adolescent suicide, and various shared factors influence the risk of both NSSIs and suicide attempts (SAs). Both are important predictors of suicide and a...
Glycosylation Profiles in Cardiovascular Diseases: A Bibliometric Analysis [0.03%]
心血管疾病中糖基化谱型的 bibliometric 分析
Tianqi Chang,Jingyu Wang,Chenyu Fan et al.
Tianqi Chang et al.
Background: Cardiovascular diseases (CVDs) continue to be the leading cause of morbidity and mortality globally, indicating a major global health burden. Glycosylation, one of the key posttranslational modifications of proteins, plays an im...