User profiles for Dimitris Kalles
![]() | Dimitris KallesProfessor of Artificial Intelligence, Hellenic Open University Verified email at eap.gr Cited by 1980 |
Using machine learning to predict antimicrobial resistance―a literature review
Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …
healthcare, gradually improving clinical practice. Among various applications of these novel …
Using machine learning techniques to aid empirical antibiotic therapy decisions in the intensive care unit of a general hospital in Greece
Hospital-acquired infections, particularly in the critical care setting, have become increasingly
common during the last decade, with Gram-negative bacterial infections presenting the …
common during the last decade, with Gram-negative bacterial infections presenting the …
[HTML][HTML] Machine learning for antibiotic resistance prediction: A prototype using off-the-shelf techniques and entry-level data to guide empiric antimicrobial therapy
…, A Sakagianni, E Loupelis, D Kalles… - Healthcare …, 2021 - synapse.koreamed.org
Objectives In the era of increasing antimicrobial resistance, the need for early identification
and prompt treatment of multi-drug-resistant infections is crucial for achieving favorable …
and prompt treatment of multi-drug-resistant infections is crucial for achieving favorable …
Virtual laboratories in biology, biotechnology and chemistry education: a literature review
Laboratory classes are essential in Biology, Biotechnology and Chemistry, as they help
learners acquire skills and understand physical phenomena in depth. To run hands-on …
learners acquire skills and understand physical phenomena in depth. To run hands-on …
Setting up an easy-to-use machine learning pipeline for medical decision support: a case study for COVID-19 diagnosis based on deep learning with CT scans
Coronavirus disease (COVID-19) constitutes an ongoing global health problem with significant
morbidity and mortality. It usually presents characteristic findings on a chest CT scan, …
morbidity and mortality. It usually presents characteristic findings on a chest CT scan, …
A learning analytics methodology for student profiling
On a daily basis, a large amount of data is gathered through the participation of students in e-learning
environments. This wealth of data is an invaluable asset to researchers as they …
environments. This wealth of data is an invaluable asset to researchers as they …
Analyzing student performance in distance learning with genetic algorithms and decision trees
D Kalles, C Pierrakeas - Applied Artificial Intelligence, 2006 - Taylor & Francis
Students that enroll in the undergraduate program on informatics at the Hellenic Open
University (HOU) demonstrate significant difficulty in advancing beyond the introductory course. …
University (HOU) demonstrate significant difficulty in advancing beyond the introductory course. …
Using machine learning techniques to predict antimicrobial resistance in stone disease patients
L Tzelves, L Lazarou, G Feretzakis, D Kalles… - World Journal of …, 2022 - Springer
Purpose Artificial intelligence is part of our daily life and machine learning techniques offer
possibilities unknown until now in medicine. This study aims to offer an evaluation of the …
possibilities unknown until now in medicine. This study aims to offer an evaluation of the …
Using machine learning to predict antimicrobial resistance of Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa strains
…, A Sakagianni, E Loupelis, D Kalles… - Public Health and …, 2021 - ebooks.iospress.nl
Hospital-acquired infections, particularly in ICU, are becoming more frequent in recent years,
with the most serious of them being Gram-negative bacterial infections. Among them, …
with the most serious of them being Gram-negative bacterial infections. Among them, …
Using machine learning algorithms to predict antimicrobial resistance and assist empirical treatment
…, E Loupelis, A Sakagianni, D Kalles… - The Importance of …, 2020 - ebooks.iospress.nl
Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global
problem and a constant threat to public health with immense costs for their treatment. Early …
problem and a constant threat to public health with immense costs for their treatment. Early …