A workplan for the statistic underlying the software DINO by Paperbox Health, aimed at early diagnosis of learning disorders

The software DINO by Paperbox Health is geared towards the identification of early signs of learning disorders in children, e.g. dyslexia. It is based on a statistical model which is being studied by a team of researchers of the start-up Paperbox Health and statisticians in the Department of Mathematical Sciences of Politecnico di Torino, a participant to the flagship project TINCARE of Spoke 5 of NODES. It will also be one of the core activities of a new doctoral student who will be recruited by the team in the secondo hald of 2024. 

The main ideas laying the foundations of the statistical model are rooted on Psychometry and its digital applications, and in particular on interacting videogames evaluated using Item Response Theory (IRT), They have been presented by professor Mauro Gasparini at the 52nd Meeting of the Italian Statistical Society in Bari on June 20, 2024 on behalf of coauthors Cecilia Campanile (Politecnico di Torino), Stefano Piacentini (Sapienza Università di Roma) and Giacomo Pratesi (Paperbox Health s.r.l.).