Responsible and Regulatory Conform Machine Learning for Medicine - A Survey of Technical Challenges and Solutions

Eike Petersen; Yannik Potdevin; Esfandiar Mohammadi; Stephan Zidowitz; Sabrina Breyer; Dirk Nowotka; Sandra Henn; Ludwig Pechmann; Martin Leucker; Philipp Rostalski; Christian Herzog

Responsible and Regulatory Conform Machine Learning for Medicine - A Survey of Technical Challenges and Solutions

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog

Original language	English
Publication status	Published - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 5 Gender Equality
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 16 Peace, Justice and Strong Institutions

Access to Document

https://dblp.org/rec/journals/corr/abs-2107-09546

Cite this

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author = "Eike Petersen and Yannik Potdevin and Esfandiar Mohammadi and Stephan Zidowitz and Sabrina Breyer and Dirk Nowotka and Sandra Henn and Ludwig Pechmann and Martin Leucker and Philipp Rostalski and Christian Herzog",

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AU - Petersen, Eike

AU - Potdevin, Yannik

AU - Mohammadi, Esfandiar

AU - Zidowitz, Stephan

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AU - Nowotka, Dirk

AU - Henn, Sandra

AU - Pechmann, Ludwig

AU - Leucker, Martin

AU - Rostalski, Philipp

AU - Herzog, Christian

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VL - abs/2107.09546

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