Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae. - Georgios Feretzakis; Evangelos Loupelis; Stavroula Petropoulou; Constantinos Christopoulos; Malvina Lada; Maria Martsoukou; Nikoleta Skarmoutsou; Katerina Sakagianni; Sophia Michelidou; Katerina Velentza; Konstantinos Valakis; Emmanouil Koutalas (ICIMTH, 2019)

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)

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)

Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. - Chairi Kiourt; Georgios Feretzakis; Konstantinos Dalamarinis; Dimitris Kalles; Georgios Pantos; Ioannis Papadopoulos; Spyros Kouris; George Ioannakis; Evangelos Loupelis; Petros Antonopoulos; Aikaterini Sakagianni (CoRR, 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)

Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. - Aikaterini Sakagianni; Christina Koufopoulou; Dimitrios Kalles; Evangelos Loupelis; Vassilios S. Verykios; Georgios Feretzakis (ICIMTH, 2023)

A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database. - Rozita Tsoni; Vasileios Kaldis; Ioanna Kapogianni; Aikaterini Sakagianni; Georgios Feretzakis; Vassilios S. Verykios (IISA, 2023)

Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning. - Aikaterini Sakagianni; Christina Koufopoulou; Vassilios S. Verykios; Evangelos Loupelis; Dimitrios Kalles; Georgios Feretzakis (MIE, 2023)

The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals. - Konstantia Zarkogianni; Edmund Dervakos; George Filandrianos; Theofanis Ganitidis; Vasiliki Gkatzou; Aikaterini Sakagianni; Raghu Raghavendra; C. L. Max Nikias; Giorgos Stamou; Konstantina S. Nikita (CoRR, 2023)

Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research. - Georgios Feretzakis; Athanasios Anastasiou; Stavros Pitoglou; Aikaterini Sakagianni; Zoi Rakopoulou; Konstantinos Kalodanis; Vasileios Kaldis; Evgenia Paxinou; Dimitris Kalles; Vassilios S. Verykios (EFMI-STC, 2024)

Integrating Cluster Analysis and Predictive Modeling for COVID-19 Treatment Outcomes: A Machine Learning Framework. - Georgios Feretzakis; Aikaterini Sakagianni; Evgenia Paxinou; Vassilios S. Verykios (IISA, 2024)

Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques. - Georgios Feretzakis; Konstantinos Dalamarinis; Dimitris Kalles; Chairi Kiourt; Georgios Pantos; Ioannis Papadopoulos; Spyros Kouris; Vassilios S. Verykios; George Ioannakis; Evangelos Loupelis; Aikaterini Sakagianni (MIE, 2024)

Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments. - Loukas Triantafyllopoulos; Georgios Feretzakis; Lazaros Tzelves; Aikaterini Sakagianni; Vassilios S. Verykios; Dimitris Kalles (MIE, 2024)

Evaluating the interactions of Medical Doctors with chatbots based on large language models: Insights from a nationwide study in the Greek healthcare sector using ChatGPT. - Loukas Triantafyllopoulos; Georgios Feretzakis; Lazaros Tzelves; Aikaterini Sakagianni; Vassilios S. Verykios; Dimitris Kalles (Comput. Hum. Behav., 2024)

Validating emergency department admission predictions based on local data through MIMIC-IV. - Francesca Meimeti; Loukas Triantafyllopoulos; Aikaterini Sakagianni; Vasileios Kaldis; Lazaros Tzelves; Nikolaos Theodorakis; Evgenia Paxinou; Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Intell. Decis. Technol., 2025)