AI Approaches in Processing and Using Data in Personalized Medicine.
ADBIS 2022: Advances in Databases and Information Systems
Using Association Rules in Antimicrobial Resistance in Stone Disease Patients
Studies in Health Technology and Informatics
Non-bijectivity-based image obfuscation method for deep learning based medical applications
2022 International Conference on Development and Application Systems (DAS)
Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement
Studies in Health Technology and Informatics
Abstract P4-11-28: Collecting quality of life information in a cohort of breast cancer survivors-Integrating electronic data collection into clinical practice
Cancer Res (2022) 82 (4_Supplement)
Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe-the ASCAPE project for breast cancer patients 2021
Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients
The 13th International ACM Conference on Management of Digital EcoSystems (MEDES'21).
Privacy-preserving classification of EEG data using machine learning and homomorphic encryption
Applied Sciences, 2021
Big-data and Machine Learning Prediction of Early and Late Mortality in ICU Patients with Venous Thromboembolism and Comparison with Classic Scoring Systems
in 2021 International Society on Thrombosis and Haemostasis Congress (ISTH), Philadelphia, PA, Jul. 2021
ASCAPE: An open AI ecosystem to support the quality of life of cancer patients
at IEEE International Conference on Healthcare Informatics.