Interacting Agents for the Risk Assessment of Allergies in Newborn Babies

Authors:
Giorgio Leonardi;Silvana Quaglini;Mara Amici;Mario Stefanelli;Cristina Torre;Giorgio Ciprandi
Affiliations:
Department of Computer Science and Systems, Università di Pavia, Italy;Department of Computer Science and Systems, Università di Pavia, Italy;Policlinico S. Matteo, Pavia, Italy;Department of Computer Science and Systems, Università di Pavia, Italy;Department of Pediatrics, IRCCS Policlinico S. Matteo, Pavia, Italy;Department of Internal Medicine, AOU San Martino, Genova, Italy
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

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Abstract

Allergic diseases are increasing all over the world. Therefore, the risk assessment of allergy in newborns is a key issue for prevention purposes. The risk can be assessed at the birth by combining information about familiarity with results of blood examination. Then, the individual must be monitored, particularly in the fist months of life, in order to better define the type of allergy and the risk. The monitoring is carried on by different professionals (agents), therefore the communication and collaboration between these agents must be supported in order to obtain the best treatment strategy for the baby. This paper presents a new project which allows the cooperation between the agents involved in the risk assessment of allergy in newborn babies, and presents the main technologies which will be used to develop it.