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Commentary: Time-varying variables-predictively predictive prediction in a coronary artery bypass grafting readmission predictive model.
Benkert, Abigail R; Lin, Shu S.
Affiliation
  • Benkert AR; Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Duke University Health System, Durham, NC.
  • Lin SS; Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Duke University Health System, Durham, NC; Department of Immunology, Duke University School of Medicine, Durham, NC; Department of Pathology, Duke University School of Medicine, Durham, NC. Electronic address: shu.lin@duke.edu.
J Thorac Cardiovasc Surg ; 164(3): 956-957, 2022 09.
Article in En | MEDLINE | ID: mdl-33487430
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Coronary Artery Bypass Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Thorac Cardiovasc Surg Year: 2022 Document type: Article Affiliation country: Nueva Caledonia Country of publication: Estados Unidos
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Coronary Artery Bypass Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Thorac Cardiovasc Surg Year: 2022 Document type: Article Affiliation country: Nueva Caledonia Country of publication: Estados Unidos