Cancer Res (2022) 82 (4_Supplement)

Abstract P4-11-28: Collecting quality of life information in a cohort of breast cancer survivors-Integrating electronic data collection into clinical practice

Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe-the ASCAPE project for breast cancer patients 2021

The 13th International ACM Conference on Management of Digital EcoSystems (MEDES'21).

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients

Applied Sciences, 2021

Privacy-preserving classification of EEG data using machine learning and homomorphic encryption

in 2021 International Society on Thrombosis and Haemostasis Congress (ISTH), Philadelphia, PA, Jul. 2021

Big-data and Machine Learning Prediction of Early and Late Mortality in ICU Patients with Venous Thromboembolism and Comparison with Classic Scoring Systems

at IEEE International Conference on Healthcare Informatics.

ASCAPE: An open AI ecosystem to support the quality of life of cancer patients

"Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Miloš Savić, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis and Miri

ASCAPE Publications old