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

Viewpoint and Opinions on Technology and Innovation in Public Health (53) Telehealth and Telemonitoring (1713) Obesity and Nutrition as Public Health Problem (309)

Published on in Vol 8, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33478, first published .
Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Authors of this article:

Wesley Tay1 Author Orcid Image ;   Rina Quek1 Author Orcid Image ;   Bhupinder Kaur1 Author Orcid Image ;   Joseph Lim1 Author Orcid Image ;   Christiani Jeyakumar Henry1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Lin N, Zhou X, Chen W, He C, Wang X, Wei Y, Long Z, Shen T, Zhong L, Yang C, Dai T, Zhang H, Shi H, Ma X. Development and validation of a point‐of‐care nursing mobile tool to guide the diagnosis of malnutrition in hospitalized adult patients: a multicenter, prospective cohort study. MedComm 2024;5(4) View
  2. Wang X, Liu Y, Rong Z, Wang W, Han M, Chen M, Fu J, Chong Y, Long X, Tang Y, Chen W. Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross‐sectional study. Journal of Parenteral and Enteral Nutrition 2024;48(5):554 View
  3. Tomasiewicz A, Polański J, Tański W. Advancing the Understanding of Malnutrition in the Elderly Population: Current Insights and Future Directions. Nutrients 2024;16(15):2502 View