Tallinna Tehnikaülikoolis on erialane kompetents ja professionaalsed õppejõud – tagamaks koolituse kõrget taset, viivad kursuseid läbi oma ala spetsialistid nii TTÜst kui ka mujalt
13.veebr, 12:00 ICT-315 "Using Semantic Technologies to Enable Digital Public Health: some activities of Team ERIAS?"
Tarkvarateaduse instituudi seminaril kolmapäeval, 13.02.2019 kell 12:00 esineb Gayo Diallo (Bordeaux Ülikool, Prantsusmaa) teemal "Using Semantic Technologies to Enable Digital Public Health: some activities of Team ERIAS?".
Seminar toimub ruumis ICT-315.
Lühikokkuvõte
Our daily life is nowadays tremendously affected by the digital revolution. Information and Communications Technologies (ICT) are used for improving human health and services both at individual and population level. In particular, Artificial Intelligence (AI) methods and tools are progressively changing the way we are tackling healthcare related issues.
In this talk I, will address the issue of the abundance of heterogeneous data and knowledge in the context of the healthcare sector and the challenges that it raises. I will focus in particular on some multidisciplinary works related to bringing semantic technologies and AI based approaches that we are conducting to enable digital public health: from tackling pharmacovigilance issues using online forums and social networks through public health decision enabling thanks to the analysis of large call data records (CDR).
Esinejast
Gayo Diallo, PhD in Computer Sciences, is the Group Leader of the Computer Sciences Applied to Health research group (ERIAS) of the Bordeaux Population Health research center, INSERM 1219, a team dedicated to the design and development of methods and tools for the semantic integration of healthcare related data, in particular, for facilitating their secondary use in the context of Public Health issues. He joined University of Bordeaux, Bordeaux School of Public Health (ISPED), in 2009 after being a research assistant at City University of London (UK) and PostDoc researcher at the Laboratory of Applied Computer Sciences (LISI/ENSMA) Futuroscope Poitiers (France). His research interests include AI based approach for healthcare data and knowledge management and ICT for Development with a particular focus on the healthcare sector. He participated in various EU funded projects and authored or co-authored more than 50 peers reviewed papers. He is winner of the practical application prize of the 2015 edition of the Orange Data for Development Big Data Challenge (D4D) and the SAMPO France-Finland cooperation program in 2015 as well. Web site: http://www.gayodiallo.org
