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Editorial
. 2021 Jun 1;22(6):578-581.
doi: 10.1097/PCC.0000000000002710.

Neural Networks for Mortality Prediction: Ready for Prime Time?

Affiliations
Editorial

Neural Networks for Mortality Prediction: Ready for Prime Time?

Tellen D Bennett et al. Pediatr Crit Care Med. .
No abstract available

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Conflict of interest statement

Dr. Bennett’s institution received funding from the National Institutes of Health (NIH) and he received support for article research from the NIH. Dr. Albers received support for article research from the NIH (NIH/NLM 5R01LM012734). Dr. Russell has disclosed that he does not have any potential conflicts of interest.

Comment on

References

    1. Sendak M, Gao M, Nichols M, et al. : Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities [Internet]. eGEMs 2019; 7:1[cited 2020 Aug 30] Available from: https://egems.academyhealth.org//article/10.5334/egems.287/ - DOI - PMC - PubMed
    1. Pollack MM, Patel KM, Ruttimann UE: PRISM III: an updated Pediatric Risk of Mortality score. Crit Care Med 1996; 24:743–752 - PubMed
    1. Slater A, Shann F, Pearson G, et al. : PIM2: a revised version of the Paediatric Index of Mortality. Intensive Care Med 2003; 29:278–285 - PubMed
    1. Leteurtre S, Martinot A, Duhamel A, et al. : Validation of the paediatric logistic organ dysfunction (PELOD) score: prospective, observational, multicentre study. Lancet 2003; 362:192–197 - PubMed
    1. Goodfellow Ian, Bengio Yoshua, Aaron Courville: Deep Learning. MIT Press; 2016.