Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Vasileios Panteris"'
Autor:
Vasileios Panteris, Antigoni Karakosta, Emmanuel Merikas, George Peros, John K. Triantafillidis
Publikováno v:
Case Reports in Gastroenterology, Vol 3, Iss 3, Pp 280-285 (2009)
A case of gastric outlet obstruction accompanied by diffuse gastritis and gastric ulcer due to cytomegalovirus infection is presented. The patient, a woman aged 67 years with a long history of rheumatoid arthritis under immunosuppressive treatment (m
Externí odkaz:
https://doaj.org/article/e66541cb73844731bc6d19523be54e5a
Autor:
Vasileios Panteris, Georgios Feretzakis, Panagiotis Karantanos, Dimitris Kalles, Vassilios V. Verykios, Maria Panoutsakou, Eirini Karagianni, Christina Zoubouli, Stefani Vgenopoulou, Aikaterini Pierrakou, Maria Theodorakopoulou, Apostolos E. Papalois, Thomas Thomaidis, Ilias Dalainas, Elias Kouroumalis
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The objective of this study was to compare different convolutional neural networks (CNNs), as employed in a Python-produced deep learning process, used on white light images of colorectal polyps acquired during the process of a colonoscopy, in order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d905ab6dd6440775c3fb6f4d14526e
https://doi.org/10.3233/shti230208
https://doi.org/10.3233/shti230208
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
Autor:
Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis
Artificial intelligence processes are increasingly being used in emergency medicine, notably for supporting clinical decisions and potentially improving healthcare services. This study investigated demographics, coagulation tests, and biochemical mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6888559f8c3a9228fb074767f4e20848
https://doi.org/10.3233/shti220751
https://doi.org/10.3233/shti220751
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
https://doi.org/10.3233/shti220775
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
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=doi_________::b93367d81d068fa22a5c83a25b526bac
https://doi.org/10.3233/shti220422
https://doi.org/10.3233/shti220422
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
Autor:
Vasileios Panteris, Panagiotis Karantanos, Nikolaos Vasilakis, Stephanie Vgenopoulou, Georgia Lymperopoulou, Georgios Feretzakis, Ilias Dalainas, Elias Kouroumalis
Publikováno v:
Molecular and Clinical Oncology
Colorectal cancer screening has long been recommended for middle age and older individuals. Recent evidence indicates increasing incidence and mortality among young adults. Therefore, the present study re-examined the current recommendations using an
Autor:
Vasileios, Panteris
Publikováno v:
Scandinavian journal of gastroenterology. 55(11)
Autor:
Vasileios Panteris
TITLE: Differences between the newer oral anticoagulants (NOACs) and classic anticoagulant therapy (Sintrom, heparin, antiplatelets) in clinical and endoscopic picture of gastrointestinal haemorrhages and analysis of risk factors in a Greek populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d701e9e589689c82daa0d7017810ef00
https://doi.org/10.17504/protocols.io.bmznk75e
https://doi.org/10.17504/protocols.io.bmznk75e