Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ioanna Kapogianni"'
Autor:
Georgios Feretzakis, Aikaterini Sakagianni, Athanasios Anastasiou, Ioanna Kapogianni, Rozita Tsoni, Christina Koufopoulou, Dimitrios Karapiperis, Vasileios Kaldis, Dimitris Kalles, Vassilios S. Verykios
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6623 (2024)
The study explores the application of automated machine learning (AutoML) using the MIMIC-IV-ED database to enhance decision-making in emergency department (ED) triage. We developed a predictive model that utilizes triage data to forecast hospital ad
Externí odkaz:
https://doaj.org/article/df37219d51e84cc1b880296da7216e91
Autor:
Georgios Feretzakis, Aikaterini Sakagianni, Athanasios Anastasiou, Ioanna Kapogianni, Effrosyni Bazakidou, Petros Koufopoulos, Yiannis Koumpouros, Christina Koufopoulou, Vasileios Kaldis, Vassilios S. Verykios
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5925 (2024)
(1) Background: Predictive modeling is becoming increasingly relevant in healthcare, aiding in clinical decision making and improving patient outcomes. However, many of the most potent predictive models, such as deep learning algorithms, are inherent
Externí odkaz:
https://doaj.org/article/5ede6d923cd641cf990b780f4a48408a
Autor:
C. Raptis, Ioanna Kapogianni, Polycarpos Falaras, Eleni Vassalou, Yannis S. Raptis, Athanassios G. Kontos, Vlassis Likodimos
Publikováno v:
Nanoscale Research Letters
Nanoscale Research Letters, Vol 6, Iss 1, p 266 (2011)
Nanoscale Research Letters, Vol 6, Iss 1, p 266 (2011)
The optical and structural properties of cadmium and lead sulfide nanocrystals deposited on mesoporous TiO2 substrates via the successive ionic layer adsorption and reaction method were comparatively investigated by reflectance, transmittance, micro-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::569ae92ec2189238b062783e583bdcf7