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dc.contributor.authorWallach, Thomas
dc.date.accessioned2022-10-17T16:32:25Z
dc.date.available2022-10-17T16:32:25Z
dc.identifier.citationWallach T. Automated Enteropathy: Discovering the Potential of Machine Learning in Environmental Enteropathy. J Pediatr Gastroenterol Nutr. 2021 Jun 1;72(6):785-786. doi: 10.1097/MPG.0000000000003115. PMID: 33661248; PMCID: PMC8119366.en_US
dc.identifier.eissn1536-4801
dc.identifier.doi10.1097/MPG.0000000000003115
dc.identifier.pmid33661248
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7761
dc.language.isoenen_US
dc.relation.urlhttps://journals.lww.com/jpgn/Fulltext/2021/06000/Automated_Enteropathy__Discovering_the_Potential.1.aspxen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAutomated Enteropathy: Discovering the Potential of Machine Learning in Environmental Enteropathy.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleJournal of pediatric gastroenterology and nutritionen_US
dc.source.volume72
dc.source.issue6
dc.source.beginpage785
dc.source.endpage786
dc.source.countryUnited States
dc.source.countryUnited States
dc.description.versionVoRen_US
refterms.dateFOA2022-10-17T16:32:25Z
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPediatric Gastroenterologyen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalJournal of pediatric gastroenterology and nutrition


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International