Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
- PMID: 33302954
- PMCID: PMC7727105
- DOI: 10.1186/s13054-020-03403-6
Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
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.
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References
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- Chu DC, Abu-Samra AG, Baird GL, Devers C, Sweeney J, Levy MM, et al. Quantitative measurement of heparin in comparison with conventional anticoagulation monitoring and the risk of thrombotic events in adults on extracorporeal membrane oxygenation. Intensive Care Med. 2015;41(2):369–370. doi: 10.1007/s00134-014-3574-3. - DOI - PMC - PubMed
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- Fawcett C, Hoos HH. Analysing differences between algorithm configurations through ablation. J Heuristics. 2013;22:431–458. doi: 10.1007/s10732-014-9275-9. - DOI
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