Vasileios Kaldis

According to our database, Vasileios Kaldis authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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

Proceedings of the 14th International Conference on Information, 2023

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, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 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, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

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, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

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, Vasileios Kaldis

CoRR, 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, Rea Chatzikyriakou, Ilias Dalainas, Evangelos Dimitrellos

Proceedings of the Public Health and Informatics, 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, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Public Health and Informatics, 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, Vasileios Kaldis

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

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, Vasileios Kaldis

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021