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Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics.
Adhikari, Lasith; Ozrazgat-Baslanti, Tezcan; Ruppert, Matthew; Madushani, R W M A; Paliwal, Srajan; Hashemighouchani, Haleh; Zheng, Feng; Tao, Ming; Lopes, Juliano M; Li, Xiaolin; Rashidi, Parisa; Bihorac, Azra.
Afiliación
  • Adhikari L; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Ozrazgat-Baslanti T; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
  • Ruppert M; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Madushani RWMA; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
  • Paliwal S; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Hashemighouchani H; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
  • Zheng F; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Tao M; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
  • Lopes JM; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Li X; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
  • Rashidi P; Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL, United States of America.
  • Bihorac A; Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States of America.
PLoS One ; 14(4): e0214904, 2019.
Article en En | MEDLINE | ID: mdl-30947282
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos