Active Informed Consent to Boost the Application of Machine Learning in Medicine

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書誌詳細
出版年:	arXiv.org (Sep 27, 2022), p. n/a
第一著者:	Gerardi, Marco
その他の著者:	Barud, Katarzyna, Wagner, Marie-Catherine, Forgo, Nikolaus, Fallucchi, Francesca, Scarpato, Noemi, Guadagni, Fiorella, Zanzotto, Fabio Massimo
出版事項:	Cornell University Library, arXiv.org
主題:	Machine learning Informed consent
オンライン･アクセス:	Citation/Abstract Full text outside of ProQuest
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その他の書誌記述
抄録:	Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including personal data. Therefore, machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine learning. We carefully analyzed the compliance of this technological tool to the legal intricacies protecting the privacy of European Citizens.
ISSN:	2331-8422
ソース:	Engineering Database