Advertisement

The Trade-off of Applying Simple vs. Advanced Imputation Techniques in Prediction Modeling

  • Uri KartounEmail author
Systems-Level Quality Improvement
  • 44 Downloads
Part of the following topical collections:
  1. Systems-Level Quality Improvement

Notes

Compliance with Ethical Standards

Conflict of Interest

IBM neither provided author U.K. salaries related to the study nor played any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. U.K. received honoraria and travel funding from The American Association for the Study of Liver Diseases (2017), and received travel funding from Merck & Co., Inc. (2017).

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

References

  1. 1.
    Choi, J., Dekkers, O. M., and le Cessie, S., A comparison of different methods to handle missing data in the context of propensity score analysis. Eur J Epidemiol. 34(1):23–36, 2019 Jan.  https://doi.org/10.1007/s10654-018-0447-z Epub 2018 Oct 19.CrossRefGoogle Scholar
  2. 2.
    Kartoun, U., Corey, K. E., Simon, T. G., Zheng, H., Aggarwal, R., Ng, K., and Shaw, S. Y., The MELD-Plus: A generalizable prediction risk score in cirrhosis. PLOS ONE 12(10):e0186301, 2017.CrossRefGoogle Scholar
  3. 3.
    Mehta, N., Singh, T., Lopez, R., and Alkhouri, N., The heart age is increased in patients with nonalcoholic fatty liver disease and correlates with fibrosis and hepatocyte ballooning. Am J Gastroenterol 111(12):1853–1854, 2016.CrossRefGoogle Scholar
  4. 4.
    Waljee, A. K., Mukherjee, A., Singal, A. G., Zhang, Y., Warren, J., Balis, U., Marrero, J., Zhu, J., and Higgins, P. D., Comparison of imputation methods for missing laboratory data in medicine. BMJ Open 3(8), 2013.CrossRefGoogle Scholar
  5. 5.
    Beaulieu-Jones, B. K., and Moore, J. H., Missing data imputation in the electronic health record using deeply learned autoencoders. Pac Symp Biocomput 22:207–218, 2017.PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Center for Computational Health, IBM ResearchCambridgeUSA

Personalised recommendations