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ORCIDKaterina Sakagianni
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2020 – today
- 2024
[j1]Loukas Triantafyllopoulos
, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles:
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. Comput. Hum. Behav. 161: 108404 (2024)- [c13]Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles:
Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments. MIE 2024: 535-539 - [c12]Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni:
Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques. MIE 2024: 1184-1188 - 2023
- [c11]Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis:
Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. ICIMTH 2023: 517-520 - [c10]Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, Aikaterini Sakagianni, Georgios Feretzakis, Vassilios S. Verykios:
A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database. IISA 2023: 1-6 - [c9]Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis:
Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning. MIE 2023: 536-540 - [i3]Konstantia Zarkogianni, Edmund Dervakos, George Filandrianos, Theofanis Ganitidis, Vasiliki Gkatzou, Aikaterini Sakagianni, Raghu Raghavendra, C. L. Max Nikias, Giorgos Stamou, Konstantina S. Nikita:
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals. CoRR abs/2307.05096 (2023) - 2022
- [c8]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:
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. ICIMTH 2022: 405-408 - [c7]Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis:
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. ICIMTH 2022: 430-433 - [c6]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:
Exploratory Clustering for Emergency Department Patients. ICIMTH 2022: 503-506 - [c5]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:
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. MIE 2022: 145-146 - 2021
- [c4]Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Georgios Karlis, Dimitris Kalles, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis:
Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. ICIMTH 2021: 297-300 - [c3]Aikaterini Sakagianni, Georgios Feretzakis, Georgios Karlis, Evangelos Loupelis, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis:
Admission and Discharge Following Ambulance Transport to the Emergency Department. ICIMTH 2021: 418-421 - [c2]Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Maria Martsoukou, Nikoleta Skarmoutsou, Constantinos Christopoulos, Malvina Lada, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Vasileios Kaldis, Rea Chatzikyriakou, Ilias Dalainas, Evangelos Dimitrellos:
Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. MIE 2021: 43-47 - [i2]Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni:
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. CoRR abs/2105.11187 (2021) - [i1]Georgios Feretzakis, George Karlis, Evangelos Loupelis, Dimitris Kalles, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Aikaterini Sakagianni, Lazaros Tzelves, Stavroula Petropoulou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis:
Using machine learning techniques to predict hospital admission at the emergency department. CoRR abs/2106.12921 (2021)
2010 – 2019
- 2019
- [c1]Georgios Feretzakis, Evangelos Loupelis, Stavroula Petropoulou, Constantinos Christopoulos, Malvina Lada, Maria Martsoukou, Nikoleta Skarmoutsou, Katerina Sakagianni, Sophia Michelidou, Katerina Velentza, Konstantinos Valakis, Emmanouil Koutalas:
Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae. ICIMTH 2019: 180-183
Coauthor Index
aka: Dimitris Kalles
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