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

Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery - a retrospective multicenter development and comparison study

克服数据障碍:基于迁移学习的普通外科90天死亡率预测——一项回顾性多中心开发与比较研究

Winter, Axel; Pfitzner, Bjarne; van de Water, Robin P; Faraj, Lara; Riepe, Christoph; Hahn, Wolf-Heinrich; Krenzien, Felix; Schineis, Christian; Malinka, Thomas; Schöning, Wenzel; Denecke, Christian; Arnrich, Bert; Beyer, Katharina; Pratschke, Johann; Sauer, Igor M; Maurer, Max M

A Real-World Dataset for detecting Handwashing in daily Life using Wrist Motion Data from Wearables

利用可穿戴设备手腕运动数据检测日常生活中洗手行为的真实世界数据集

Burchard, Robin; Kirsten, Kristina; Miché, Marcel; Scholl, Philipp; Arnrich, Bert; Van Laerhoven, Kristof; Lieb, Roselind; Wahl, Karina

Study protocol for PIANo-1: Personalized Investigation of music's effect on Attention in a series of N-of-1 trials

PIANo-1 研究方案:通过一系列 N-of-1 试验,个性化研究音乐对注意力的影响

Gärtner, Thomas; Stolp, Fabian; Arnrich, Bert; Konigorski, Stefan

High-precision information retrieval for rapid clinical guideline updates

高精度信息检索,助力临床指南快速更新

Borchert, Florian; Wullenweber, Paul; Oeser, Annika; Kreuzberger, Nina; Karge, Torsten; Langer, Thomas; Skoetz, Nicole; Wieler, Lothar H; Schapranow, Matthieu-P; Arnrich, Bert

90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study

利用机器学习预测择期内脏手术90天死亡率:一项回顾性多中心开发、验证和比较研究

Riepe, Christoph; van de Water, Robin; Winter, Axel; Pfitzner, Bjarne; Faraj, Lara; Ahlborn, Robert; Schulze, Maximilian; Zuluaga, Daniela; Schineis, Christian; Beyer, Katharina; Pratschke, Johann; Arnrich, Bert; Sauer, Igor M; Maurer, Max M

Privacy preserving federated learning for 90-day mortality prediction in colorectal surgery: a multicenter retrospective development and comparison study

基于隐私保护的联邦学习在结直肠手术90天死亡率预测中的应用:一项多中心回顾性开发与比较研究

Maurer, Max M; Pfitzner, Bjarne; van de Water, Robin P; Faraj, Lara; Riepe, Christoph; Zuluaga, Daniela; Krenzien, Felix; Raschzok, Nathanael; Siegel, Robert; Schineis, Christian; Arnrich, Bert; Beyer, Katharina; Pratschke, Johann; Sauer, Igor M; Winter, Axel

EPIStress: A multimodal dataset of Physiological signals to measure cognitive stress in epilepsy patients

EPIStress:用于测量癫痫患者认知压力的多模态生理信号数据集

Moontaha, Sidratul; Cavalier, Constanze; Esser, Birgitta; Jordan, Arthur; Goebel, Ines; Anders, Christoph; Mimi, Afsana; Krüger, Björn; Surges, Rainer; Arnrich, Bert

Information Pathways and Voids in Critical German Online Communities During the COVID-19 Vaccination Discourse: Cross-Platform and Mixed Methods Analysis

新冠疫苗接种讨论期间德国关键在线社区的信息路径与信息空白:跨平台和混合方法分析

Wehrli, Silvan; Hartner, Anna-Maria; Boender, T Sonia; Arnrich, Bert; Irrgang, Christopher

Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach

开发一种可扩展的大型数据集标注方法,利用可操作数据增强警报信息,从而提高信息量:混合方法

Klopfenstein, Sophie Anne Inès; Flint, Anne Rike; Heeren, Patrick; Prendke, Mona; Chaoui, Amin; Ocker, Thomas; Chromik, Jonas; Arnrich, Bert; Balzer, Felix; Poncette, Akira-Sebastian

Generalised machine learning models outperform personalised models for cognitive load classification in real-life settings

在实际场景中,通用机器学习模型在认知负荷分类方面优于个性化模型。

Anders, Christoph; Bhaduri, Ipsita; Arnrich, Bert