Hallawa相关文献与解析，生知库 | 链接生命科学的每一步

Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

重症监护中基于语音的信息和文档系统与现有系统的标准化比较：交叉研究

Peine, Arne; Gronholz, Maike; Seidl-Rathkopf, Katharina; Wolfram, Thomas; Hallawa, Ahmed; Reitz, Annika; Celi, Leo Anthony; Marx, Gernot; Martin, Lukas

发表日期：2023

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Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study

利用不同深度学习模型预测重症监护病房患者实验室检查值异常：一项比较研究

期刊:JMIR Medical Informatics

影响因子:3.8

doi:10.2196/37658

Ayad, Ahmad; Hallawa, Ahmed; Peine, Arne; Martin, Lukas; Fazlic, Lejla Begic; Dartmann, Guido; Marx, Gernot; Schmeink, Anke

发表日期：2022

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Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

开发和验证一种强化学习算法，用于动态优化重症监护中的机械通气

期刊:npj Digital Medicine

影响因子:15.1

doi:10.1038/s41746-021-00388-6

Peine, Arne; Hallawa, Ahmed; Bickenbach, Johannes; Dartmann, Guido; Fazlic, Lejla Begic; Schmeink, Anke; Ascheid, Gerd; Thiemermann, Christoph; Schuppert, Andreas; Kindle, Ryan; Celi, Leo; Marx, Gernot; Martin, Lukas

发表日期：2021

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A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

基于卷积神经网络的重症监护室医疗耗材管理深度学习方法：技术概念验证研究

期刊:JMIR Medical Informatics

影响因子:3.8

doi:10.2196/14806

Peine, Arne; Hallawa, Ahmed; Schöffski, Oliver; Dartmann, Guido; Fazlic, Lejla Begic; Schmeink, Anke; Marx, Gernot; Martin, Lukas

发表日期：2019

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Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- In silico Approach Combining In vitro Experiments and Machine Learning

硫酸肝素诱导小鼠心肌细胞坏死性凋亡：一种结合体外实验和机器学习的医学计算机模拟方法

期刊:Frontiers in Immunology

影响因子:5.7

doi:10.3389/fimmu.2018.00393

Elisabeth Zechendorf, Phillip Vaßen, Jieyi Zhang, Ahmed Hallawa, Antons Martincuks, Oliver Krenkel, Gerhard Müller-Newen, Tobias Schuerholz, Tim-Philipp Simon, Gernot Marx, Gerd Ascheid, Anke Schmeink, Guido Dartmann, Christoph Thiemermann, Lukas Martin

Two-stage visual speech recognition for intensive care patients

重症监护患者的两阶段视觉语音识别

Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

重症监护中基于语音的信息和文档系统与现有系统的标准化比较：交叉研究

Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study

利用不同深度学习模型预测重症监护病房患者实验室检查值异常：一项比较研究

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

开发和验证一种强化学习算法，用于动态优化重症监护中的机械通气

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

基于卷积神经网络的重症监护室医疗耗材管理深度学习方法：技术概念验证研究

Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- In silico Approach Combining In vitro Experiments and Machine Learning

硫酸肝素诱导小鼠心肌细胞坏死性凋亡：一种结合体外实验和机器学习的医学计算机模拟方法