Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Stavroula, Kolokytha"'
1
Exploratory Clustering for Emergency Department Patients
Autor: Georgios, Feretzakis, Aikaterini, Sakagianni, Dimitris, Kalles, Evangelos, Loupelis, Lazaros, Tzelves, Vasileios, Panteris, Rea, Chatzikyriakou, Nikolaos, Trakas, Stavroula, Kolokytha, Polyxeni, Batiani, Zoi, Rakopoulou, Aikaterini, Tika, Stavroula, Petropoulou, Ilias, Dalainas, Vasileios, Kaldis
Publikováno v: Studies in health technology and informatics. 295
Emergency department (ED) overcrowding is an increasing global problem raising safety concerns for the patients. Elaborating an effective triage system that properly separates patients requiring hospital admission remains difficult. The objective of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::89268d92d03c0c0a4ad67d48e5f81a0d
https://pubmed.ncbi.nlm.nih.gov/35773921
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3
Exploratory Clustering for Emergency Department Patients
Autor: Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Lazaros Tzelves, Vasileios Panteris, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis
Emergency department (ED) overcrowding is an increasing global problem raising safety concerns for the patients. Elaborating an effective triage system that properly separates patients requiring hospital admission remains difficult. The objective of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83ff9ed4d0fa10c64751012d62b0d9f7
https://doi.org/10.3233/shti220775
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4
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients
Autor: Georgios, Feretzakis, Aikaterini, Sakagianni, Evangelos, Loupelis, Dimitris, Kalles, Vasileios, Panteris, Lazaros, Tzelves, Rea, Chatzikyriakou, Nikolaos, Trakas, Stavroula, Kolokytha, Polyxeni, Batiani, Zoi, Rakopoulou, Aikaterini, Tika, Stavroula, Petropoulou, Ilias, Dalainas, Vasileios, Kaldis
Publikováno v: Studies in health technology and informatics. 294
The objective of this study was to evaluate the predictive capability of five machine learning models regarding the admission or discharge of emergency department patients. A Random Forest classifier outperformed other models with respect to the area
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a73f945805649724d07bb51558f953cf
https://pubmed.ncbi.nlm.nih.gov/35612042
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6
Management of COVID-19 Patients in the Emergency Department
Autor: Stamatoula Tsikrika, Stavroula Kolokytha, Konstantinos Porpodis, Ioannis Pantazopoulos, Emmanouil Manos
Publikováno v: Journal of Personalized Medicine
Journal of Personalized Medicine, Vol 11, Iss 961, p 961 (2021)
COVID-19 is an emerging disease of global public health concern. As the pandemic overwhelmed emergency departments (EDs), a restructuring of emergency care delivery became necessary in many hospitals. Furthermore, with more than 2000 papers being pub
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::548cf231d901c18057a85ec769005612
https://doi.org/10.3390/jpm11100961
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10
Akademický článek
Management of COVID-19 Patients in the Emergency Department.
Autor: Pantazopoulos, Ioannis, Tsikrika, Stamatoula, Kolokytha, Stavroula, Manos, Emmanouil, Porpodis, Konstantinos
Publikováno v: Journal of Personalized Medicine; Oct2021, Vol. 11 Issue 10, p961, 1p
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