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Machine learning helps predict long-term mortality and graft failure in patients undergoing heart transplant.
Agasthi, Pradyumna; Buras, Matthew R; Smith, Sean D; Golafshar, Michael A; Mookadam, Farouk; Anand, Senthil; Rosenthal, Julie L; Hardaway, Brian W; DeValeria, Patrick; Arsanjani, Reza.
Afiliação
  • Agasthi P; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA. pradyumna_agasthi@hotmail.com.
  • Buras MR; Division of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, AZ, USA.
  • Smith SD; Department of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
  • Golafshar MA; Division of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, AZ, USA.
  • Mookadam F; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
  • Anand S; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
  • Rosenthal JL; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
  • Hardaway BW; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
  • DeValeria P; Division of Cardiovascular and Thoracic Surgery, Mayo Clinic, Phoenix, AZ, USA.
  • Arsanjani R; Department of Cardiovascular Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ, 85054, USA.
Gen Thorac Cardiovasc Surg ; 68(12): 1369-1376, 2020 Dec.
Article em En | MEDLINE | ID: mdl-32383068
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transplante de Coração / Insuficiência Cardíaca Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transplante de Coração / Insuficiência Cardíaca Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article