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Joint Event
November 29-30, 2019 | Frankfurt, Germany
28
th
International Conference on
3
rd
International Conference on
Diabetes and Endocrinology
Diabetes and Metabolism
&
2
0
1
9
CONGRESS
DIABETES
2019
DIABETES
Journal of Diabetology | Volume 3
Q
uality of life (QoL) of patients affected by chronic
diseases and their caregivers is a very important and
interdisciplinary research topic. From recent literature new
methodologies to reduce the impact of a chronic disorders
on everyday life of affected people and their relatives are
required: PERsonal Care Instructor and VALuator (PERCIVAL)
project is an attempt to build up an integrated environment
to promote the sharing, deliberation and monitoring of
decisions about different aspects of chronic diseases among
all the actors involved. Patients affected by chronic diseases
are often interested by multiple disorders, which make them
frail frommany points of view: From the physical perspective,
they must follow different kinds of therapies, with possible
negative intersections that could cause them very hard
side-effects; From the psychological standpoint, the self-
acceptation of such long-term disability, and, for most of
them, life-long disability, is very difficult to reach; Last, but not
least, from the social viewpoint, they must entirely depend
on their caregivers, that are their relatives most of times, for
all the aspects related to their condition; this dependency
typically becomes closer and closer according to the evolution
of the chronic disease. PERCIVAL aims at developing decision
support systems capable to exploit both quantitative data
perceived by wearable devices, that are nowadays recognized
as very useful to face with chronic disorders, and qualitative
data provided by the user to take decisions tailored on
patient profile. In this talk, the general architecture and a
prototype of the PERCIVAL system focusing on the definition
of personalized training programmes will be presented.
Moreover, the conceptual model behind the system, based on
the adoption of bayesian networks and the first experiments,
whose goal was to profile potential users of the PEERCIVAL
system to derive effective Conditional Probability Tables will
be introduced.
Speaker Biography
Fabio Sartori, PhD, is Assistant Professor at the Department of Computer
Science, Systems and Communication, University of Milan-Bicocca, Milan.
His research mainly focuses on conceptual and computational frameworks
for knowledge-based systems design and implementation and case-based
reasoning. He is the author and co-author of more than 70 scientific papers
on international journals and conference proceedings. He is associate
editor of Data Technologies and Applications journal and member of the
steering committee of the Metadata and Semantics Conference Series.
e:
fabio.sartori@unimib.itFabio Sartori
University of Milano-Bicocca, Italy
Personalized treatment of chronic diseases from a computational
perspective
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