Artificial Intelligence Approach for Analyzing Anaemia Prevalence In Children and Adolescents In Brics Countries: A Review.
Anemia prevalence, especially among children and adolescents, is a serious public health burden in the BRICS countries. This article gives an overview of the current anaemia status in children and adolescents in three BRICS countries, as part of a study that utilizes an artificial intelligence appro...
| Publicado en: | Current Research in Nutrition & Food Science Vol. 9; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
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Current Research in Nutrition & Food Science
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150441942&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150441942 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2347467X KIVQ jtl: Current Research in Nutrition & Food Science issn: 2347467X maglogo: N pubinfo: dt: Apr2021 vid: 9 iid: 1 pid: 25572 pub: Current Research in Nutrition & Food Science artinfo: ui: 150441942 10.12944/CRNFSJ.9.1.01 150441942 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Artificial Intelligence Approach for Analyzing Anaemia Prevalence In Children and Adolescents In Brics Countries: A Review. aug: au: DUKHI, NATISHA SEWPAUL, RONEL SEKGALA, MACHOENE DERRICK AWE, OLUSHINA OLAWALE affil: Human and Social Capabilities Division, Human Sciences Research Council, Merchant House, 116-118 Buitengracht Street, Cape Town, South Africa sug: ab: Anemia prevalence, especially among children and adolescents, is a serious public health burden in the BRICS countries. This article gives an overview of the current anaemia status in children and adolescents in three BRICS countries, as part of a study that utilizes an artificial intelligence approach for analyzing anaemia prevalence in children and adolescents in South Africa, India and Russia. It posits that the use of machine learning in this area of health research is still novel. The weightage assessment of the crosslink between anaemia risk indicators using a machine learning approach will assist policy makers in identifying the areas of priority to intervene in the BRICS participating countries. Health interventions utilizing artificial intelligence and more specifically, machine learning techniques, remains nascent in LMICs but could lead to improved health outcomes. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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