Predictive and Associative Models to Identify Hospitalized Medical Patients at Risk for VTE
Alex C. SpyropoulosHamilton Health Sciences General Hospital, McMaster University, Hamilton, ON, Canada. Electronic address: [email protected]Frederick A. AndersonCenter for Outcomes Research, University of Massachusetts Medical School, Worcester, MAGordon FitzGeraldCenter for Outcomes Research, University of Massachusetts Medical School, Worcester, MAHervé DecoususINSERM, CIE3, Saint-Etienne, University Saint-Etienne, CHU Saint-Etienne, Hôpital Nord, Service de Médecine Interne et Thérapeutique, Saint-Etienne, FranceM PiniBeng H. ChongSt. George Clinical School, University of New South Wales, Sydney, NSW, AustraliaRainer B. ZotzJean‐François BergmannHôpital Lariboisiere Clinique Thérapeutique, University Paris Diderot, Paris, FranceVictor F. TapsonDuke University Medical Center, Durham, NCJames B. FroehlichVascular Medicine, University of Michigan Health System, Ann Arbor, MIManuel MonréalServicio de Medicina Interna, Hospital Germans Trias i Pujol, Badalona, SpainGeno J. MerliJefferson Vascular Diseases Center, Departments of Surgery and Medicine, Thomas Jefferson University Hospital, Philadelphia, PARicardo PavanelloHospital do Coracao Clinica Medica São Paulo, São Paulo, BrazilAlexander G.G. TurpieHamilton Health Sciences General Hospital, McMaster University, Hamilton, ON, CanadaMashio NakamuraDepartment of Cardiology, Mie University Graduate School of Medicine, Tsu Mie, JapanFranco PiovellaU.O. Angiologia, Fondazione IRCCS Policlinico San Matteo, Pavia, ItalyAjay K. KakkarThrombosis Research Institute and University College London, London, EnglandFrederick A. SpencerHamilton Health Sciences, McMaster University, Hamilton, ON, Canada
2011en
ABI
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