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Stefan Schraag

Prof

  • United Kingdom

20162020
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  • 98 Similar Profiles
Surgery Engineering & Materials Science
Adaptive boosting Engineering & Materials Science
Learning systems Engineering & Materials Science
Costs Engineering & Materials Science

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Projects 2016 2020

Research Output 2019 2019

  • 1 Conference contribution book

Evaluation of random forest and ensemble methods at predicting complications following cardiac surgery

Lapp, L., Bouamrane, M-M., Kavanagh, K., Roper, M., Young, D. & Schraag, S., 30 May 2019, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Wilk, S., ten Teije, A. & Riaño, D. (eds.). Cham: Springer, p. 376–385 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11526 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Surgery
Adaptive boosting
Learning systems
Costs