Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohort.

Journal: Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
PMID: 38348579

Abstract

BACKGROUND: Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Early detection is important for timely intervention. This paper assesses the ability of a machine learning screening tool (MUST-Plus) implemented in registered dietitian (RD) workflow to identify malnourished patients early in the hospital stay and to improve the diagnosis and documentation rate of malnutrition.

Authors

  • Prathamesh Parchure
    Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Melanie Besculides
    Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Serena Zhan
    Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Fu-Yuan Cheng
    Institute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY.
  • Prem Timsina
    Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Satya Narayana Cheertirala
    Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Ilana Kersch
    Clinical Nutrition, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Sara Wilson
    Clinical Nutrition, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Robert Freeman
    Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Pl, New York, NY 10029, USA.
  • David Reich
    Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Madhu Mazumdar
    Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Arash Kia
    Department of Mathematics & Statistics, University of Limerick, Limerick, Ireland.

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