首页> The journal of trauma and acute care surgery> A random forest model using flow cytometry data identifies pulmonary infection after thoracic injury.

A random forest model using flow cytometry data identifies pulmonary infection after thoracic injury.

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第一作者： Rondi B,Gelbard

第一单位： From the Department of Surgery (R.B.G., C.J.D., T.G.B.), Emory University, Atlanta, Georgia; Uniformed Services University of the Health Sciences (S.S., E.G., E.E.), Walter Reed National Military Medical Center (E.E.), Surgical Critical Care Initiative (R.B.G., H.H., S.S., L.S., E.G., C.J.D., T.G.B., A.D.K., E.E.), Bethesda, Maryland; DecisionQ (H.H.), Arlington, Virginia; Department of Surgery (L.S., D.M., A.D.K.), Duke University, Durham, North Carolina; Department of Surgery, Trauma, Burns, and Surgical Critical Care (R.B.G.), University of Alabama at Birmingham, Birmingham, Alabama; and Henry M Jackson Foundation for the Advancement of Military Medicine (S.S., E.G.), Bethesda, Maryland.

作者： Rondi B,Gelbard ^[1] ; Hannah,Hensman ; Seth,Schobel ; Linda,Stempora ; Eric,Gann ; Dimitrios,Moris ; Christopher J,Dente ; Timothy G,Buchman ; Allan D,Kirk ; Eric,Elster

作者单位： From the Department of Surgery (R.B.G., C.J.D., T.G.B.), Emory University, Atlanta, Georgia; Uniformed Services University of the Health Sciences (S.S., E.G., E.E.), Walter Reed National Military Medical Center (E.E.), Surgical Critical Care Initiative (R.B.G., H.H., S.S., L.S., E.G., C.J.D., T.G.B., A.D.K., E.E.), Bethesda, Maryland; DecisionQ (H.H.), Arlington, Virginia; Department of Surgery (L.S., D.M., A.D.K.), Duke University, Durham, North Carolina; Department of Surgery, Trauma, Burns, and Surgical Critical Care (R.B.G.), University of Alabama at Birmingham, Birmingham, Alabama; and Henry M Jackson Foundation for the Advancement of Military Medicine (S.S., E.G.), Bethesda, Maryland. ^[1]