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All Journal The International Journal of Medical Science and Health Research
Aisyah Sabrina, Syarifah Tiara
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Artificial Intelligence for Diagnosis Stunting: A Systematic Review Aisyah Sabrina, Syarifah Tiara; Melinda, Eza; Nuraziza, Shafira; Machalli, Muchammad Jalaluddin
The International Journal of Medical Science and Health Research Vol. 1 No. 2 (2024)
Publisher : International Medical Journal Corp. Ltd

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Abstract

Background: One issue that arises from chronic malnutrition during the first 1000 days of life is childhood stunting. The World Health Organization (WHO) reported that in 2020, 22% of children under the age of five worldwide were stunted. Methods: This systematic review focused on full-text English literature published between 2014 and 2024 using the PRISMA 2020 guidelines. Editorials and review pieces published in the same journal as the submission without a DOI were not accepted. The literature was compiled using PubMed, ScienceDirect, and SagePub, among other online venues. Result: We compiled a total of 8 papers, 4 of which came from PubMed, 1 of which came from SAGEPUB and 1 of which came from SCIENCE DIRECT. We included eight research that met the criteria. Conclusion: In summary, research to develop a diagnostic system for child stunting can be pursued further. To begin with, many researchers have opted to use the forward chaining approach while doing research that involves developing diagnostic systems
Co-Authors Machalli, Muchammad Jalaluddin Melinda, Eza Nuraziza, Shafira