Authors:
Oscar Tamburis
1
;
Elio Masciari
2
;
Christian Esposito
3
and
Gerardo Fatone
1
Affiliations:
1
Dept. of Veterinary Medicine and Animal Productions, Federico II University, Via Delpino 1, Naples, Italy
;
2
Dept. of Computer Science and Electrical Engineering, Federico II University, Naples, Italy
;
3
Dept. of Computer Science, University of Salerno, Fisciano (SA), Italy
Keyword(s):
Veterinary Medicine, Electronic Medical Record, Decision Tree Algorithm, One Health.
Abstract:
The increasing importance of Veterinary Informatics is driving the implementation of integrated veterinary information management systems (VIMS) for the capture, storage, analysis and retrieval of animal data. In this paper, a decision tree algorithm was implemented, starting from the database of the University Veterinary Hospital at Federico II University of Naples, aiming at building a predictive model for an effective recognition of neoplastic diseases and zoonoses for cats and dogs focusing to Campania Region, in order to figure out, according to the One (Digital) Health perspective specifics, the connection between humans, animals, and surrounding environment.