Research Output per year
Research Output per year
Personal profile
Keywords
- statistics
- predictive modelling
- perioperative medicine
- cardiac surgery
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Research Output
- 1 Conference contribution book
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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 proceeding › Conference contribution book
Open AccessFile3 Citations (Scopus)2 Downloads (Pure)
Thesis
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Developing predictive models for postoperative complications in cardiac patients
Author: Lapp, L., 18 May 2018Student thesis: Master's Thesis