Multimedia Knowledge and Social Media Analytics Laboratory

MKLab and INAB joint work on individualized modelling in CLL (hematologic cancer) accepted as a project in European Research Initiative on CLL (ERIC)

ERIC, the European Reasearch Initiative on Chronic Lymphocytic Leukemia (CLL), has accepted our joint work with the Institute of Applied Bioscience (INAB) on individualized modelling of CLL patients, presented at ASH 2015 [1]. Our objective in this work was to compare the performance of standard prognostic models in CLL (Cox regression models), novel machine learning models and clinicians' prognosis in predicting the Time-To-First-Treatment (TTFT) for each patient. ERIC accepted our work as an ongoing project with the objective to promote it to trained hematologists in order to obtain a large set of educated predictions with respect to TTFT. 

 

[1] Elisavet Chatzilari, Panagiotis Baliakas, Aliki Xochelli, Anastasios Maronidis, Anna Vardi, Mattias, Mattsson, Karin Larsson, Vassiliki Douka, Michail Iskas, George Karavalakis, Apostolia Papalexandri, Carsten Niemann, Marco Montillo, Achilles Anagnostopoulos, David Oscier, Sarka Pospisilova, Frederic Davi, Niki Stavroyianni, Paolo Ghia, Anastasia Hadzidimitriou, Richard Rosenquist, Spiros Nikolopoulos, Kostas Stamatopoulos and Yannis Kompatsiaris, "Personalized Modeling of Disease Evolution in CLL: Does Statistical Significance Translate into Predictive Accuracy?", American Society of Hematology (ASH) 2015.