日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

基于解剖结构的多元学习方法用于心肌梗死预测

Sievering, Ivan-Daniel; Senouf, Ortal; Mahendiran, Thabo; Nanchen, David; Fournier, Stephane; Muller, Olivier; Frossard, Pascal; Abbe, Emmanuel; Thanou, Dorina

Diagnostic value of carotid intima-media thickness and clinical risk scores in determining etiology of ischemic stroke

颈动脉内膜中层厚度和临床风险评分在确定缺血性卒中病因中的诊断价值

Sievering, Esther Mw; Grosshennig, Anika; Kottas, Martina; Ernst, Johanna; Ringlstetter, Rieke; Koch, Armin; Weissenborn, Karin; Grosse, Gerrit M

Citrinin Exposure in Germany: Urine Biomarker Analysis in Children and Adults

德国儿童和成人的桔霉素暴露情况:尿液生物标志物分析

Degen, Gisela H; Reinders, Jörg; Kraft, Martin; Völkel, Wolfgang; Gerull, Felicia; Burghardt, Rafael; Sievering, Silvia; Engelmann, Jennifer; Chovolou, Yvonni; Hengstler, Jan G; Fromme, Hermann

Action recommendations to support people living in precarious conditions during a pandemic

为支持疫情期间生活在困境中的人们而提出的行动建议

Degen, Gisela H; Reinders, Jörg; Kraft, Martin; Völkel, Wolfgang; Gerull, Felicia; Burghardt, Rafael; Sievering, Silvia; Engelmann, Jennifer; Chovolou, Yvonni; Hengstler, Jan G; Fromme, Hermann; Dragano, N; Reuter, M; Peters, A; Schmidt, B; Bohn, B; Berger, K; Öcek, Z; Volkmann, AM; Klünder, V; Basil, A; Geise, M; Coenen, M

Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission

比较机器学习方法与逻辑回归分析在构建新冠肺炎患者入院时发生危重院内事件风险预测模型方面的差异

Sievering, Aaron W; Wohlmuth, Peter; Geßler, Nele; Gunawardene, Melanie A; Herrlinger, Klaus; Bein, Berthold; Arnold, Dirk; Bergmann, Martin; Nowak, Lorenz; Gloeckner, Christian; Koch, Ina; Bachmann, Martin; Herborn, Christoph U; Stang, Axel