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Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool.
Mete, Mutlu; Ayvaci, Mehmet U S; Ariyamuthu, Venkatesh K; Amin, Alpesh; Peltz, Matthias; Thibodeau, Jennifer T; Grodin, Justin L; Mammen, Pradeep P A; Garg, Sonia; Araj, Faris; Morlend, Robert; Drazner, Mark H; AbdulRahim, Nashila; Kim, Yeongin; Salam, Yusuf; Gungor, Ahmet B; Delibasi, Bulent; Kotla, Suman K; MacConmara, Malcolm P; Mohan Anand, Prince; Gupta, Gaurav; Tanriover, Bekir.
Afiliación
  • Mete M; Department of Computer Science, Texas A&M University-Commerce, Commerce, Texas, USA.
  • Ayvaci MUS; Information Systems, Naveen Jindal School of Business, University of Texas at Dallas, Richardson, Texas, USA.
  • Ariyamuthu VK; Division of Nephrology, University of Arizona College of Medicine-Tucson, Tucson, Arizona, USA.
  • Amin A; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Peltz M; Division of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Thibodeau JT; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Grodin JL; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Mammen PPA; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Garg S; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Araj F; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Morlend R; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Drazner MH; Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • AbdulRahim N; Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Kim Y; Virginia Commonwealth University, Information Systems, School of Business, Richmond, Virginia, USA.
  • Salam Y; School of Public Health at the University of Texas Health Science Center, Dallas, Texas, USA.
  • Gungor AB; Division of Nephrology, Banner University Medical Group-Tucson, Tucson, Arizona, USA.
  • Delibasi B; School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA.
  • Kotla SK; Dallas Nephrology Associates, Dallas, Texas, USA.
  • MacConmara MP; Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Mohan Anand P; Division of Nephrology, Medical University of South Carolina, Lancaster, South Carolina, USA.
  • Gupta G; Division of Nephrology, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Tanriover B; Division of Nephrology, University of Arizona College of Medicine-Tucson, Tucson, Arizona, USA.
Kidney Int Rep ; 7(6): 1410-1415, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35685329
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Kidney Int Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Kidney Int Rep Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos