K-nearest neighbor algorithm for imputing missing longitudinal prenatal alcohol data.

Journal: Advances in drug and alcohol research
Published Date: Jan 28, 2025

Abstract

AIMS: The objective of this study is to illustrate the application of a machine learning algorithm, K Nearest Neighbor () to impute missing alcohol data in a prospective study among pregnant women.

Authors

  • Ayesha Sania
    Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.
  • Nicolò Pini
    Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.
  • Morgan E Nelson
    Research Triangle Institute, Research Triangle Park, Durham, NC, United States.
  • Michael M Myers
    Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.
  • Lauren C Shuffrey
    Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, United States.
  • Maristella Lucchini
    Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.
  • Amy J Elliott
    Center for Pediatric and Community Research, Avera Health, Sioux Falls, SD, United States.
  • Hein J Odendaal
    Department of Obstetrics and Gynecology, Faculty of Medicine and Health Science, Stellenbosch University, Cape Town, Western Cape, South Africa.
  • William P Fifer
    Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.

Keywords

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