Predictive AI Models for the Personalized Medicine

Luigi Lella, Ignazio Licata, Gianfranco Minati, Christian Pristipino, Antonio Giulio De Belvis, Roberta Pastorino

2019

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.

Paper Citation

in Harvard Style

Lella L., Licata I., Minati G., Pristipino C., De Belvis A. and Pastorino R. (2019). Predictive AI Models for the Personalized Medicine. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 396-401. DOI: 10.5220/0007472203960401

in Bibtex Style

@conference{healthinf19,
author={Luigi Lella and Ignazio Licata and Gianfranco Minati and Christian Pristipino and Antonio Giulio De Belvis and Roberta Pastorino},
title={Predictive AI Models for the Personalized Medicine},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={396-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007472203960401},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF
TI - Predictive AI Models for the Personalized Medicine
SN - 978-989-758-353-7
AU - Lella L.
AU - Licata I.
AU - Minati G.
AU - Pristipino C.
AU - De Belvis A.
AU - Pastorino R.
PY - 2019
SP - 396
EP - 401
DO - 10.5220/0007472203960401
PB - SciTePress