1 citations · 1 across the 2 of their papers we have counts for
3 papers
Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV
Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni +7
The effective management of Emergency Department (ED) overcrowding is essential for improving patient outcomes and optimizing healthcare resource allocation. This study validates h…
Using machine learning techniques to predict hospital admission at the emergency department
Georgios Feretzakis, George Karlis, Evangelos Loupelis +10
Introduction: One of the most important tasks in the Emergency Department (ED) is to promptly identify the patients who will benefit from hospital admission. Machine Learning (ML)…
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis +8
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans for COVID-19 patients, provide an…