Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. - Georgios Feretzakis; Aikaterini Sakagianni; Evangelos Loupelis; Georgios Karlis; Dimitris Kalles; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Petropoulou; Aikaterini Tika; Zoi Rakopoulou; Ilias Dalainas; et al. (ICIMTH, 2021)

Admission and Discharge Following Ambulance Transport to the Emergency Department. - Aikaterini Sakagianni; Georgios Feretzakis; Georgios Karlis; Evangelos Loupelis; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Eugenia Karakou; Stavroula Petropoulou; Aikaterini Tika; Zoi Rakopoulou; Ilias Dalainas; et al. (ICIMTH, 2021)

Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic. - Georgios Feretzakis; Georgios Karlis; Konstantinos Tsekouras; Stamatios Orfanos; Evangelos Loupelis; Stavroula Petropoulou; Konstantinos Mantzouranis; Makrina Tsafaridou; Rea Chatzikyriakou; Aikaterini Sofianou; Paraskevi Zafeiriadou; Aikaterini Tika; et al. (MIE, 2021)

Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. - Georgios Feretzakis; Aikaterini Sakagianni; Evangelos Loupelis; Dimitris Kalles; Maria Martsoukou; Nikoleta Skarmoutsou; Constantinos Christopoulos; Malvina Lada; Aikaterini Velentza; Stavroula Petropoulou; Sophia Michelidou; Vasileios Kaldis; et al. (MIE, 2021)

Using machine learning techniques to predict hospital admission at the emergency department. - Georgios Feretzakis; George Karlis; Evangelos Loupelis; Dimitris Kalles; Rea Chatzikyriakou; Nikolaos Trakas; Eugenia Karakou; Aikaterini Sakagianni; Lazaros Tzelves; Stavroula Petropoulou; Aikaterini Tika; Ilias Dalainas; et al. (CoRR, 2021)

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Dimitris Kalles; Evangelos Loupelis; Vasileios Panteris; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (ICIMTH, 2022)

Exploratory Clustering for Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Dimitris Kalles; Evangelos Loupelis; Lazaros Tzelves; Vasileios Panteris; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (ICIMTH, 2022)

Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. - Aikaterini Sakagianni; Georgios Feretzakis; Dimitris Kalles; Evangelos Loupelis; Zoi Rakopoulou; Ilias Dalainas; Georgios Fildisis (ICIMTH, 2022)

Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Evangelos Loupelis; Dimitris Kalles; Vasileios Panteris; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (MIE, 2022)

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. - Vasileios Panteris; Dimitris Kalles; Vassilios S. Verykios; Stefani Vgenopoulou; Aikaterini Pierrakou; Ilias Dalainas; Georgios Feretzakis (ICIMTH, 2023)

Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. - Vasileios Panteris; Georgios Feretzakis; Panagiotis Karantanos; Dimitris Kalles; Vassilios S. Verykios; Maria Panoutsakou; Eirini Karagianni; Christina Zoubouli; Stefani Vgenopoulou; Aikaterini Pierrakou; Maria Theodorakopoulou; Apostolos E. Papalois; et al. (MIE, 2023)

From Affect Regulation to BMI: Unveiling Childhood Obesity Patterns Through Advanced Clustering Techniques. - Georgios Feretzakis; Athanasia Harokopou; Olga Fafoula; Athanasios Anastasiou; Efstathia Katoikou; Athina Balaska; Antriana Koulountzou; Georgios Zagkavieros; Stamatia Batzaki; Lida Morou; Ioannis Katsikogiannis; Ilias Dalainas; et al. (MIE, 2024)