Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery-Reference-Cited by-同舟云学术

Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery

Published:2019 Issue: Volume: Page:376-385
ISSN:0302-9743
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Lapp Linda^ORCID,Bouamrane Matt-Mouley^ORCID,Kavanagh Kimberley^ORCID,Roper Marc^ORCID,Young David^ORCID,Schraag Stefan^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-21642-9_48

Reference33 articles.

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3. Bouamrane, M.-M., Mair, F.S.: A study of clinical and information management processes in the surgical pre-assessment clinic. BMC Med. Inform. Decis. Mak. 14, 22 (2014)

4. Moonesinghe, S.R., Mythen, M.G., Das, P., Rowan, K.M., Grocott, M.P.: Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review. Anesthesiology 119, 959–981 (2013)

5. SCTS: Blue Book Online. http://bluebook.scts.org/

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