Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating

Giuseppe Mainenti, Lelio Campanile, Fiammetta Marulli, Carlo Ricciardi, Antonio Valente

Abstract

In recent years the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques in healthcare helped clinicians to improve the management of chronic patients. Diabetes is among the most common chronic illness in the world for which often is still challenging do an early detection and a correct classification of type of diabetes to an individual. In fact it often depends on the circumstances present at the time of diagnosis, and many diabetic individuals do not easily fit into a single class. The aim is this paper is the application of ML techniques in order to classify the occurrence of different mellitus diabetes on the base of clinical data obtained from diabetic patients during the daily hospitals activities.

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Paper Citation


in Harvard Style

Mainenti G., Campanile L., Marulli F., Ricciardi C. and Valente A. (2020). Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs , ISBN 978-989-758-426-8, pages 533-540. DOI: 10.5220/0009839405330540


in Bibtex Style

@conference{ai4eiots 20,
author={Giuseppe Mainenti and Lelio Campanile and Fiammetta Marulli and Carlo Ricciardi and Antonio Valente},
title={Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,},
year={2020},
pages={533-540},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009839405330540},
isbn={978-989-758-426-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoTs ,
TI - Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating
SN - 978-989-758-426-8
AU - Mainenti G.
AU - Campanile L.
AU - Marulli F.
AU - Ricciardi C.
AU - Valente A.
PY - 2020
SP - 533
EP - 540
DO - 10.5220/0009839405330540