The Experts below are selected from a list of 38391 Experts worldwide ranked by ideXlab platform
Christopher G Slatore - One of the best experts on this subject based on the ideXlab platform.
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Early Warning System scores for clinical deterioration in hospitalized patients a Systematic review
Annals of the American Thoracic Society, 2014Co-Authors: M Beth E Smith, Joseph Chiovaro, Maya Elin Oneil, Devan Kansagara, Ana R Quinones, Michele Freeman, Makalapua Motuapuaka, Christopher G SlatoreAbstract:Rationale: Early Warning System (EWS) scores are used by hospital care teams to recognize Early signs of clinical deterioration and trigger more intensive care.Objective: To Systematically review the evidence on the ability of Early Warning System scores to predict a patient’s risk of clinical deterioration and the impact of Early Warning System implementation on health outcomes and resource utilization.Methods: We searched the MEDLINE, CINAHL, and Cochrane Central Register of Controlled Trials databases through May 2014. We included English-language studies of Early Warning System scores used with adults admitted to medical or surgical wards. We abstracted study characteristics, including population, setting, sample size, duration, and criteria used for Early Warning System scoring. For predictive ability, the primary outcomes were modeled for discrimination on 48-hour mortality, cardiac arrest, or pulmonary arrest. Outcomes for the impact of Early Warning System implementation included 30-day mortality,...
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Early Warning System Scores for Clinical Deterioration in Hospitalized Patients: A Systematic Review
Annals of the American Thoracic Society, 2014Co-Authors: M E Beth Smith, Joseph Chiovaro, Devan Kansagara, Ana R Quinones, Michele Freeman, Maya E O'neil, Makalapua Motu'apuaka, Christopher G SlatoreAbstract:Rationale: Early Warning System (EWS) scores are used by hospital care teams to recognize Early signs of clinical deterioration and trigger more intensive care.Objective: To Systematically review the evidence on the ability of Early Warning System scores to predict a patient’s risk of clinical deterioration and the impact of Early Warning System implementation on health outcomes and resource utilization.Methods: We searched the MEDLINE, CINAHL, and Cochrane Central Register of Controlled Trials databases through May 2014. We included English-language studies of Early Warning System scores used with adults admitted to medical or surgical wards. We abstracted study characteristics, including population, setting, sample size, duration, and criteria used for Early Warning System scoring. For predictive ability, the primary outcomes were modeled for discrimination on 48-hour mortality, cardiac arrest, or pulmonary arrest. Outcomes for the impact of Early Warning System implementation included 30-day mortality,...
Toshio Namba - One of the best experts on this subject based on the ideXlab platform.
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SNEWS: The Supernova Early Warning System
New Journal of Physics, 2004Co-Authors: Pietro Antonioli, Alec Habig, Richard Tresch Fienberg, F. Fleurot, Yoshiyuki Fukuda, W. Fulgione, J. Heise, A. B. Mcdonald, Corrinne Mills, Toshio NambaAbstract:This paper provides a technical description of the SuperNova Early Warning System (SNEWS), an international network of experiments with the goal of providing an Early Warning of a galactic supernova.
Yousuke Nozaki - One of the best experts on this subject based on the ideXlab platform.
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An Early Warning System against malicious activities for smart grid communications
IEEE Network, 2011Co-Authors: Zubair Md Fadlullah, Xuemin Sherman Shen, Maged Mohamed Ali Fouda, Nei Kato, Yousuke NozakiAbstract:Smart grid presents the largest growth potential in the machine-to-machine market today. Spurred by the recent advances in M2M technologies, the smart meters/sensors used in smart grid are expected not to require human intervention in characterizing power requirements and energy distribution. These numerous sensors are able to report back information such as power consumption and other monitoring signals. However, SG, as it comprises an energy control and distribution System, requires fast response to malicious events such as distributed denial of service attacks against smart meters. In this article, we model the malicious and/or abnormal events, which may compromise the security and privacy of smart grid users, as a Gaussian process. Based on this model, a novel Early Warning System is proposed for anticipating malicious events in the SG network. With the Warning System, the SG control center can forecast such malicious events, thereby enabling SG to react beforehand and mitigate the possible impact of malicious activity. We verify the effectiveness of the proposed Early Warning System through computer-based simulations.
Pietro Antonioli - One of the best experts on this subject based on the ideXlab platform.
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SNEWS: The Supernova Early Warning System
New Journal of Physics, 2004Co-Authors: Pietro Antonioli, Alec Habig, Richard Tresch Fienberg, F. Fleurot, Yoshiyuki Fukuda, W. Fulgione, J. Heise, A. B. Mcdonald, Corrinne Mills, Toshio NambaAbstract:This paper provides a technical description of the SuperNova Early Warning System (SNEWS), an international network of experiments with the goal of providing an Early Warning of a galactic supernova.
Z. H. Zhou - One of the best experts on this subject based on the ideXlab platform.
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Model Study on the Supply Chain Early Warning System
2009Co-Authors: Z. Y. Chen, G. F. Song, Z. H. ZhouAbstract:In order to stndy the internal structure and dynamics behavior of supply chain Early Warning System, this paper analyzed the System framework of supply chain Early Warning System, And then presented the complex System internal index relationship. Moreover, the paper developed the dynamics model of supply chain Early Warning System, which focuses on the Systematic analysis of all the interrelated subSystems, as well as the process of its operation.
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Dynamics model study on the supply chain Early Warning System
2009 16th International Conference on Industrial Engineering and Engineering Management, 2009Co-Authors: Z. Y. Chen, G. F. Song, Z. H. ZhouAbstract:In order to study the internal structure and dynamics behavior of supply chain Early Warning System, this paper analyzed the System framework of supply chain Early Warning System, And then presented the complex System internal index relationship. Moreover, the paper developed the dynamics model of supply chain Early Warning System, which focuses on the Systematic analysis of all the interrelated subSystems, as well as the process of its operation.
