Work

Postmarket surveillance of arthroplasty device components using machine learning methods

Year: 2019

Type: article

Study design: Observational Study

Source: Pharmacoepidemiology and Drug Safety

DOI: 10.1002/pds.4882

Authors: Guy Cafri, Stephen E. Graves, Art Sedrakyan, Juanjuan Fan, Peter Calhoun, Richard N. de Steiger, Alana Cuthbert, Michelle Lorimer, Elizabeth W. Paxton

Institutions: Kaiser Permanente, Kaiser Permanente San Diego Medical Center, Australian Orthopaedic Association, Weill Cornell Medicine, San Diego State University, The University of Melbourne, Epworth Hospital

Language: English

Topic: Orthopaedic implants and arthroplasty

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2967194004

FWCI: 0.956

Cites: 34

Cited by: 12

Related to: 10