Research Output per year
Personal profile
Keywords
- statistics
- predictive modelling
- perioperative medicine
- cardiac surgery
Fingerprint Dive into the research topics where Linda Lapp is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Surgery
Engineering & Materials Science
Adaptive boosting
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Costs
Engineering & Materials Science
Network
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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 proceeding › Conference contribution book
Surgery
Adaptive boosting
Learning systems
Costs
Thesis
Developing predictive models for postoperative complications in cardiac patients
Author: Lapp, L., 1 Oct 2017Student thesis: Master's Thesis