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An 8-gene machine learning model improves clinical prediction of severe dengue progression.
Liu, Yiran E; Saul, Sirle; Rao, Aditya Manohar; Robinson, Makeda Lucretia; Agudelo Rojas, Olga Lucia; Sanz, Ana Maria; Verghese, Michelle; Solis, Daniel; Sibai, Mamdouh; Huang, Chun Hong; Sahoo, Malaya Kumar; Gelvez, Rosa Margarita; Bueno, Nathalia; Estupiñan Cardenas, Maria Isabel; Villar Centeno, Luis Angel; Rojas Garrido, Elsa Marina; Rosso, Fernando; Donato, Michele; Pinsky, Benjamin A; Einav, Shirit; Khatri, Purvesh.
Affiliation
  • Liu YE; Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, CA, Stanford, USA.
  • Saul S; Cancer Biology Graduate Program, School of Medicine, Stanford University, CA, Stanford, USA.
  • Rao AM; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, School of Medicine, Stanford University, CA, Stanford, USA.
  • Robinson ML; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, School of Medicine, Stanford University, CA, Stanford, USA.
  • Agudelo Rojas OL; Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, CA, Stanford, USA.
  • Sanz AM; Immunology Graduate Program, School of Medicine, Stanford University, CA, Stanford, USA.
  • Verghese M; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, School of Medicine, Stanford University, CA, Stanford, USA.
  • Solis D; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Sibai M; Clinical Research Center, Fundación Valle del Lili, Cali, Colombia.
  • Huang CH; Clinical Research Center, Fundación Valle del Lili, Cali, Colombia.
  • Sahoo MK; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Gelvez RM; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Bueno N; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Estupiñan Cardenas MI; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Villar Centeno LA; Department of Pathology, School of Medicine, Stanford University, CA, Stanford, USA.
  • Rojas Garrido EM; Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI), Bucaramanga, Colombia.
  • Rosso F; Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI), Bucaramanga, Colombia.
  • Donato M; Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI), Bucaramanga, Colombia.
  • Pinsky BA; Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI), Bucaramanga, Colombia.
  • Einav S; Centro de Atención y Diagnóstico de Enfermedades Infecciosas (CDI), Bucaramanga, Colombia.
  • Khatri P; Clinical Research Center, Fundación Valle del Lili, Cali, Colombia.
Genome Med ; 14(1): 33, 2022 03 29.
Article in En | MEDLINE | ID: mdl-35346346
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Severe Dengue Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Med Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Severe Dengue Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Med Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom