Federico Cabitza, PhD
Department of Informatics, University of Milano-Bicocca, Milan, Italy
Scientific Department, IRCCS Orthopedic Institute Galeazzi, Milan, Italy
Federico Cabitza received his Master in IT Engineering at the Politecnico of Milan in 2001. Since then, he has worked as a Requirement Engineer and business analyst in the private sector, specializing in Health Informatics. In 2007, he received his PhD in Informatics, with a thesis on Electronic Patient Record and coordination in hospital settings. Currently, he is an Assistant Professor (since 2011) at the University of Milano-Bicocca (Milan, Italy) where he teaches human-computer interactionand data visualization. Since 2016 he has also had an official research appointment with the IRCCS Orthopaedics Institute Galeazzi in Milano (Italy). His current research interests regard the analysis, design and evaluation of interactive systems and decision support (also based on machine learning techniques) in the Healthcare setting.
He has co-chaired International workshops (on Data Visualization in Healthcare and knowledge IT artifacts), conference tracks (on Socio-technical design), conference programs (for the Italian Chapter of AIS) and special issues on impacted Journals (i.e., the CSCW journal, Program and the Health INformatics Journal).
He is stable PC member of several international conferences and associate editor of the International Journal of Medical Informatics.
He is author of more than 120 research publications to date, in international conference proceedings, edited books and scientific journals, including the JAMA, CSCW Journal, Computers in Biology and Medicine, Behaviour and Information Technology, International Journal of Human Computer Studies, Computers in Human Behavior, International Journal of Approximate Reasoning, and the Journal of Visual Languages and Computing.
Cabitza F, Banfi G. Machine learning in laboratory medicine: waiting for the flood?.
Clinical Chemistry and Laboratory Medicine (CCLM). 2018 Mar 28;56(4):516-24.
Cabitza F, Rasoini R, Gensini GF. Unintended consequences of machine learning in medicine. Jama. 2017 Aug 8;318(6):517-8.
Cabitza F, Batini C. Information quality in healthcare. InData and Information Quality 2016 (pp. 403-419). Springer, Cham.
Cabitza F, Simone C, De Michelis G. User-driven prioritization of features for a prospective InterPersonal Health Record: perceptions from the Italian context. Computers in biology and medicine. 2015 Apr 1;59:202-10.