PROBAST Assessment of Machine Learning: Comment
Author:
Affiliation:
1. 1University of Parma, Parma, Italy (E.B.). elenagiovanna.bignami@unipr.it
Publisher
Ovid Technologies (Wolters Kluwer Health)
Link
https://pubs.asahq.org/anesthesiology/article-pdf/141/3/615/712500/20240900.0-00034.pdf
Reference10 articles.
1. Prediction of complications and prognostication in perioperative medicine: A systematic review and PROBAST assessment of machine learning tools.;Arina;Anesthesiology,2023
2. A machine learning predictive model for post-ureteroscopy urosepsis needing intensive care unit admission: A case-control YAU endourology study from nine European centres.;Pietropaolo;J Clin Med,2021
3. Ureteral calculi lithotripsy for single ureteral calculi: Can DNN-assisted model help preoperatively predict risk factors for sepsis?;Chen;Eur Radiol,2022
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1. PROBAST Assessment of Machine Learning: Reply;Anesthesiology;2024-05-29
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