Cross-Country Age Disparities in COVID-19 Cases with Hospitalization, ICU Usage, and Morbidity

COVID-19患者长期心血管并发症的聚类分析

Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients

本研究应用K-means聚类分析COVID-19患者的心电图、人口统计及住院等数据，识别出三个具有不同心率变异性和ICU入院特征的心血管并发症患者簇，揭示了高风险患者的特征模式。

使用概率模型对住院电子健康记录进行序列推断

Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models

本文提出一种概率无监督模型，用于处理住院EHR中的多任意长度序列，通过潜变量结构捕获复杂关系，并在Kaiser Permanente数据上验证其优于基线方法。

通过不规则时间序列的分层建模增强ICU患者血糖水平预测

Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series

本研究提出MITST分层Transformer框架，整合多源临床数据预测ICU患者血糖，在eICU数据库上较随机森林提升AUROC 1.7pp、AUPRC 1.8pp，低血糖敏感性提高7.2pp，并可泛化至死亡率预测。

Evidence for positive long- and short-term effects of vaccinations against COVID-19 in wearable sensor metrics -- Insights from the German Corona Data Donation Project

Vaccines are among the most powerful tools used to combat the COVID-19 pandemic. They are highly effective against infection and substantially reduce the risk of severe disease, hospitalization, ICU admission, and death. However, their potential for attenuating long-term effects of a SARS-CoV-2 infection, commonly denoted as Long COVID, remains elusive and is still subject of debate. Such long-term effects can be effectively monitored at the individual level by analyzing physiological data collected by consumer-grade wearable sensors. Here, we investigate changes in resting heart rate, daily p…