This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (628) Data Science (300) Machine Learning (1693) Clinical Information and Decision Making (1608)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42262, first published .
Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning–Based Clinical Decision Support Systems

Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning–Based Clinical Decision Support Systems

Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning–Based Clinical Decision Support Systems

Authors of this article:

Melanie Besculides1 Author Orcid Image ;   Madhu Mazumdar1, 2 Author Orcid Image ;   Sydney Phlegar3 Author Orcid Image ;   Robert Freeman1, 4 Author Orcid Image ;   Sara Wilson5 Author Orcid Image ;   Himanshu Joshi1 Author Orcid Image ;   Arash Kia1 Author Orcid Image ;   Ksenia Gorbenko1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Janssen S, Bouzembrak Y, Tekinerdogan B. Artificial Intelligence in Malnutrition: A Systematic Literature Review. Advances in Nutrition 2024;15(9):100264 View
  2. Kittrell H, Shaikh A, Adintori P, McCarthy P, Kohli‐Seth R, Nadkarni G, Sakhuja A. Role of artificial intelligence in critical care nutrition support and research. Nutrition in Clinical Practice 2024;39(5):1069 View
  3. Krones F, Walker B, Reyna M. From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings. PLOS Digital Health 2024;3(12):e0000437 View