Authors:
Luigi Lella
1
;
Ignazio Licata
2
;
Gianfranco Minati
3
;
Christian Pristipino
4
;
Antonio Giulio De Belvis
5
and
Roberta Pastorino
5
Affiliations:
1
ASUR, Regional Health Agency of Marche, AN and Italy
;
2
ISEM, Inst. for Scientific Methodology, PA and Italy
;
3
AIRS, Italian Association for Systems Research, MI and Italy
;
4
ASSIMSS, Italian Association for Systems Medicine & Healthcare, Rome and Italy
;
5
Section of Hygiene, Inst. of Public Health, Università Cattolica del Sacro Cuore, Rome and Italy
Keyword(s):
e-Health, e-Health Applications, Pattern Recognition and Machine Learning, Decision Support Systems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cardiovascular Technologies
;
Cloud Computing
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
e-Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Knowledge-Based Systems
;
Pattern Recognition and Machine Learning
;
Platforms and Applications
;
Symbolic Systems
Abstract:
Innovative information systems which enable personalized medicine are presented. The designed decision support systems are expected to infer with an excellent level of accuracy the outcome of a therapeutic intervention through the analysis of biometric, genetic and environmental data. They are also capable to motivate their predictions according to a dynamic knowledge base, which is kept updated with new analysed cases. These systems can be used by researchers to identify useful correlations between biometric, genetic and environmental data with potential risks and benefits of certain therapeutic choices. They can also be used by the patients to choose the most appropriate therapeutic intervention according to their needs and expectations. In other words the presented decision support tools can realize the vision of the predictive, preventive, personalized and participatory (P4) medicine pursued by the systemic medicine.