A Proposal of Quantum-Inspired Machine Learning for Medical Purposes: An Application Case

Learning tasks are implemented via mappings of the sampled data set, including both the classical and the quantum framework. Biomedical data characterizing complex diseases such as cancer typically require an algorithmic support for clinical decisions, especially for early stage tumors that typify b...

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Egile Nagusiak:	Domenico Pomarico, Annarita Fanizzi, Nicola Amoroso, Roberto Bellotti, Albino Biafora, Samantha Bove, Vittorio Didonna, Daniele La Forgia, Maria Irene Pastena, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Raffaella Massafra
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2021-02-01
Saila:	Mathematics
Gaiak:	early stage cancer input data feature space
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/9/4/410
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