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How Can We Ensure Reproducibility and Clinical Translation of Machine Learning Applications in Laboratory Medicine?

  • Published:2022-01-10 Issue: Volume: Page:
  • ISSN:0009-9147
  • Container-title:Clinical Chemistry
  • language:en
  • Short-container-title:

Author:

Haymond Shannon12,Master Stephen R34

Affiliation:

1. Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA

2. Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

3. Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia; Philadelphia, PA, USA

4. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

Reference15 articles.

1. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans;Roberts;Nat Mach Intell,2021

2. External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients;Wong;JAMA Intern Med,2021

3. Improving reproducibility in machine learning research (a report from the NeurIPS 2019 reproducibility program);Pineau;arXiv.,2020
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