Παρακολούθηση
Elias Dritsas
Elias Dritsas
"ATHENA" Research Center \ Industrial Systems Institute and University of Patras, Greece
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ceid.upatras.gr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Stroke risk prediction with machine learning techniques
E Dritsas, M Trigka
Sensors 22 (13), 4670, 2022
1142022
Machine learning tools for long-term type 2 diabetes risk prediction
N Fazakis, O Kocsis, E Dritsas, S Alexiou, N Fakotakis, K Moustakas
ieee Access 9, 103737-103757, 2021
862021
Lung cancer risk prediction with machine learning models
E Dritsas, M Trigka
Big Data and Cognitive Computing 6 (4), 139, 2022
512022
Data-driven machine-learning methods for diabetes risk prediction
E Dritsas, M Trigka
Sensors 22 (14), 5304, 2022
482022
Machine learning techniques for chronic kidney disease risk prediction
E Dritsas, M Trigka
Big Data and Cognitive Computing 6 (3), 98, 2022
442022
Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques
E Dritsas, S Alexiou, K Moustakas
8th International Conference on Information and Communication Technologies …, 2022
422022
Supervised machine learning models for liver disease risk prediction
E Dritsas, M Trigka
Computers 12 (1), 19, 2023
332023
An approach for Personalized Continuous Glucose Prediction with Regression Trees
S Alexiou, E Dritsas, O Kocsis, K Moustakas, N Fakotakis
6th South-East Europe Design Automation, Computer Engineering, Computer …, 2021
282021
Long-term hypertension risk prediction with ml techniques in elsa database
E Dritsas, N Fazakis, O Kocsis, N Fakotakis, K Moustakas
Learning and Intelligent Optimization: 15th International Conference, LION …, 2021
252021
Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database
N Fazakis, E Dritsas, O Kocsis, N Fakotakis, K Moustakas
13th International Joint Conference on Computational Intelligence 1, 445-450, 2021
242021
Efficient data-driven machine learning models for cardiovascular diseases risk prediction
E Dritsas, M Trigka
Sensors 23 (3), 1161, 2023
232023
Machine learning methods for hypercholesterolemia long-term risk prediction
E Dritsas, M Trigka
Sensors 22 (14), 5365, 2022
222022
Sleep quality monitoring with human assisted corrections
I Konstantoulas, O Kocsis, E Dritsas, N Fakotakis, K Moustakas
13th International Joint Conference on Computational Intelligence 1, 435-444, 2021
212021
Long-term coronary artery disease risk prediction with machine learning models
M Trigka, E Dritsas
Sensors 23 (3), 1193, 2023
202023
Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values
E Dritsas, S Alexiou, I Konstantoulas, K Moustakas
15th International Joint Conference on Biomedical Engineering Systems and …, 2022
202022
An apache spark implementation for graph-based hashtag sentiment classification on twitter
E Dritsas, IE Livieris, K Giotopoulos, L Theodorakopoulos
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 255-260, 2018
182018
COPD severity prediction in elderly with ML techniques
E Dritsas, S Alexiou, K Moustakas
Proceedings of the 15th International Conference on PErvasive Technologies …, 2022
172022
Efficient data-driven machine learning models for water quality prediction
E Dritsas, M Trigka
Computation 11 (2), 16, 2023
132023
Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data
E Dritsas, N Fazakis, O Kocsis, K Moustakas, N Fakotakis
12th International Conference on Information, Intelligence, Systems …, 2021
132021
Supervised machine learning models to identify early-stage symptoms of SARS-CoV-2
E Dritsas, M Trigka
Sensors 23 (1), 40, 2022
112022
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