Enhanced Artificial Intelligence-Based Risk Score Using XGBoost for Predicting In-Hospital AKI in a Bolivian Cohort

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dc.contributor.authorRolando Claure‐Del Granado
dc.contributor.authorJuan C. Moya-Mamani
dc.contributor.authorRakesh Malhotra
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:51:20Z
dc.date.available2026-03-22T19:51:20Z
dc.date.issued2025
dc.identifier.doi10.1681/asn.2025tbg20yta
dc.identifier.urihttps://doi.org/10.1681/asn.2025tbg20yta
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/78523
dc.language.isoen
dc.publisherAmerican Society of Nephrology
dc.relation.ispartofJournal of the American Society of Nephrology
dc.sourceUniversity of San Simón
dc.subjectMedicine
dc.subjectCohort
dc.subjectRisk assessment
dc.subjectFramingham Risk Score
dc.subjectCohort study
dc.subjectInternal medicine
dc.subjectMEDLINE
dc.subjectRisk factor
dc.subjectIntensive care medicine
dc.subjectPediatrics
dc.titleEnhanced Artificial Intelligence-Based Risk Score Using XGBoost for Predicting In-Hospital AKI in a Bolivian Cohort
dc.typearticle

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