Zobrazeno 1 - 10 of 28 pro vyhledávání: '"Ahmed Hallawa"'
1
Akademický článek
Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study
Autor: Arne Peine, Maike Gronholz, Katharina Seidl-Rathkopf, Thomas Wolfram, Ahmed Hallawa, Annika Reitz, Leo Anthony Celi, Gernot Marx, Lukas Martin
Publikováno v: JMIR Medical Informatics, Vol 11, p e44773 (2023)
BackgroundThe medical teams in intensive care units (ICUs) spend increasing amounts of time at computer systems for data processing, input, and interpretation purposes. As each patient creates about 1000 data points per hour, the available informatio
Externí odkaz: https://doaj.org/article/f94af967407e49fa836f1381fbf05590
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2
Akademický článek
Two-stage visual speech recognition for intensive care patients
Autor: Hendrik Laux, Ahmed Hallawa, Julio Cesar Sevarolli Assis, Anke Schmeink, Lukas Martin, Arne Peine
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract In this work, we propose a framework to enhance the communication abilities of speech-impaired patients in an intensive care setting via reading lips. Medical procedure, such as a tracheotomy, causes the patient to lose the ability to utter
Externí odkaz: https://doaj.org/article/d855cc8ec8d54027b433fda3edd86e8b
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3
Akademický článek
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
Autor: Ahmad Ayad, Ahmed Hallawa, Arne Peine, Lukas Martin, Lejla Begic Fazlic, Guido Dartmann, Gernot Marx, Anke Schmeink
Publikováno v: JMIR Medical Informatics, Vol 10, Iss 8, p e37658 (2022)
BackgroundIn recent years, the volume of medical knowledge and health data has increased rapidly. For example, the increased availability of electronic health records (EHRs) provides accurate, up-to-date, and complete information about patients at th
Externí odkaz: https://doaj.org/article/363ed60f3a5c4d568ff5e644a214d7f0
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4
Akademický článek
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
Autor: Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo Celi, Gernot Marx, Lukas Martin
Publikováno v: npj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
Abstract The aim of this work was to develop and evaluate the reinforcement learning algorithm VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. We built, validated and tested its perf
Externí odkaz: https://doaj.org/article/cbf3e67d243d4b4c9450953527ffd35b
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6
Akademický článek
Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
Autor: 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
Publikováno v: Frontiers in Immunology, Vol 9 (2018)
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the un
Externí odkaz: https://doaj.org/article/db8a72cc4a594841b0f12eb8f39c8de5
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7
Speaker identification and localization using shuffled MFCC features and deep learning
Autor: Mahdi Barhoush, Ahmed Hallawa, Anke Schmeink
Publikováno v: International journal of speech technology 26(1), 185-196 (2023). doi:10.1007/s10772-023-10023-2 special issue: "Special Sections on 'Advanced Neural Approaches and NLP in Speech Technology' (Articles 1-6) and 'Arabic NLP and Speech Recognition Using Deep and Machine Learning' (Articles 7-11)"
International journal of speech technology (2023). doi:10.1007/s10772-023-10023-2
Published by Springer Science + Business Media B.V, Dordrecht [u.a.]
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac0e2601e901a87aa4662ca1d552df1
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8
A Visualization and Benchmarking Simulator for Clinical Data
Autor: Marlies, Morgen, Lejla, Begic Fazlic, Arne, Peine, Lukas, Martin, Anke, Schmeink, Ahmed, Hallawa, Guido, Dartmann
Publikováno v: Studies in health technology and informatics. 299
The availability of Big Data has increased significantly in many areas in recent years. Insights from these data sets lead to optimized processes in many industries, which is why understanding as well as gaining knowledge through analyses of these da
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::8e81f5a56bd2e21e7efefc9aa1058d75
https://pubmed.ncbi.nlm.nih.gov/36325867
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9
A Visualization and Benchmarking Simulator for Clinical Data
Autor: Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann
Publikováno v: Studies in Health Technology and Informatics ISBN: 9781643683485
The availability of Big Data has increased significantly in many areas in recent years. Insights from these data sets lead to optimized processes in many industries, which is why understanding as well as gaining knowledge through analyses of these da
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::608c51add7826953dfb044190d00e61b
https://doi.org/10.3233/shti220988
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