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...

詳細記述

書誌詳細

主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-02-01
シリーズ:	Mathematics
主題:	early stage cancer input data feature space
オンライン･アクセス:	https://www.mdpi.com/2227-7390/9/4/410
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!