Machine Learning for Biomedical Applications

Giuseppe Cesarelli; Alfonso Maria Ponsiglione; Mario Sansone; Francesco Amato; Leandro Donisi; Carlo Ricciardi

doi:10.3390/bioengineering11080790

Bioengineering (Aug 2024)

Machine Learning for Biomedical Applications

Giuseppe Cesarelli,
Alfonso Maria Ponsiglione,
Mario Sansone,
Francesco Amato,
Leandro Donisi,
Carlo Ricciardi

Affiliations

Giuseppe Cesarelli: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Alfonso Maria Ponsiglione: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Mario Sansone: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Francesco Amato: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Leandro Donisi: Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Via De Crecchio 7, 80138 Naples, Italy
Carlo Ricciardi: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy

DOI: https://doi.org/10.3390/bioengineering11080790
Journal volume & issue: Vol. 11, no. 8
p. 790

Abstract

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Machine learning (ML) is a field of artificial intelligence that uses algorithms capable of extracting knowledge directly from data that could support decisions in multiple fields of engineering [...]

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Published in Bioengineering

ISSN: 2306-5354 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology; Science: Biology (General)
Website: https://www.mdpi.com/journal/bioengineering

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