Your browser doesn't support javascript.
loading
Unsupervised machine learning demonstrates the prognostic value of TAPSE/PASP ratio among hospitalized patients with COVID-19.
Jani, Vivek; Kapoor, Karan; Meyer, Joseph; Lu, Jim; Goerlich, Erin; Metkus, Thomas S; Madrazo, Jose A; Michos, Erin; Wu, Katherine; Bavaro, Nicole; Kutty, Shelby; Hays, Allison G; Mukherjee, Monica.
Afiliación
  • Jani V; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Kapoor K; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Meyer J; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Lu J; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Goerlich E; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Metkus TS; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Madrazo JA; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Michos E; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Wu K; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Bavaro N; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Kutty S; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Hays AG; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Mukherjee M; Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Echocardiography ; 39(9): 1198-1208, 2022 09.
Article en En | MEDLINE | ID: mdl-35907784
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disfunción Ventricular Derecha / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Echocardiography Asunto de la revista: CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disfunción Ventricular Derecha / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Echocardiography Asunto de la revista: CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos