Clinical Applications of Machine Learning Algorithms : Beyond the Black Box

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers

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Year of publication:	2019
Authors:	Watson, David ; Krutzinna, Jenny ; Bruce, Ian ; Griffiths, Christopher ; McInnes, Iain ; Barnes, Michael ; Floridi, Luciano
Publisher:	[S.l.] : SSRN
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Algorithmus \| Algorithm \| Theorie \| Theory \| Computerunterstützung \| Computerized method

Extent:	1 Online-Ressource (9 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 12, 2019 erstellt
Other identifiers:	10.2139/ssrn.3352454 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014107481