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Machine Learning to Predict Outcomes in Patients with Acute Pulmonary Embolism Who Prematurely Discontinued Anticoagulant Therapy.
Mora, Damián; Nieto, José A; Mateo, Jorge; Bikdeli, Behnood; Barco, Stefano; Trujillo-Santos, Javier; Soler, Silvia; Font, Llorenç; Bosevski, Marijan; Monreal, Manuel.
Afiliação
  • Mora D; Department of Internal Medicine, Hospital Virgen de la Luz, Cuenca, Spain.
  • Nieto JA; Department of Internal Medicine, Hospital Virgen de la Luz, Cuenca, Spain.
  • Mateo J; Neurobiological Research Group, Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain.
  • Bikdeli B; Cardiovascular Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.
  • Barco S; Yale/YNHH Center for Outcomes Research and Evaluation, New Haven, Connecticut, United States.
  • Trujillo-Santos J; Cardiovascular Research Foundation (CRF), New York, New York, United States.
  • Soler S; Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland.
  • Font L; Center for Thrombosis and Hemostasis, University Hospital Mainz, Mainz, Germany.
  • Bosevski M; Department of Internal Medicine, Hospital General Universitario Santa Lucía, Universidad Católica de Murcia, Murcia, Spain.
  • Monreal M; Department of Internal Medicine, Hospital Olot i Comarcal de la Garrotxa, Gerona, Spain.
Thromb Haemost ; 122(4): 570-577, 2022 04.
Article em En | MEDLINE | ID: mdl-34107539
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Embolia Pulmonar / Tromboembolia Venosa Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 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: Embolia Pulmonar / Tromboembolia Venosa Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article