Artificial Intelligence for Diagnosis Stunting
A Systematic Review
Keywords:
artificial intelligence, stuntingAbstract
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
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Copyright (c) 2024 Syarifah Tiara Aisyah Sabrina, Eza Melinda, Shafira Nuraziza, Muchammad Jalaluddin Machalli (Author)
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