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. 2020 Dec 10;24(1):689.
doi: 10.1186/s13054-020-03403-6.

Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation

Affiliations

Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation

Adeel Abbasi et al. Crit Care. .
No abstract available

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Conflict of interest statement

Dr. Ventetuolo reports serving as a prior consultant for Acceleron Pharma and Maquet Cardiovascular and grants to her institution from United Therapeutics and Eiger for the conduct of research and a clinical trial, respectively. The remaining authors have no competing interests to disclose.

Figures

Fig. 1
Fig. 1
Performance of machine learning models. DT decision trees, kNN k-nearest neighbor, LR logistic regression, RF random forest, RFE recursive feature elimination

References

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