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Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery.
Abbasi, Adeel; Li, Cindy; Dekle, Max; Bermudez, Christian A; Brodie, Daniel; Sellke, Frank W; Sodha, Neel R; Ventetuolo, Corey E; Eickhoff, Carsten.
Affiliation
  • Abbasi A; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Warren Alpert School of Medicine at Brown University, Providence, RI. Electronic address: adeel_abbasi@brown.edu.
  • Li C; Brown University, Providence, RI.
  • Dekle M; Brown University, Providence, RI.
  • Bermudez CA; Division of Cardiovascular Surgery, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa.
  • Brodie D; Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Md.
  • Sellke FW; Division of Cardiothoracic Surgery, Department of Surgery, Warren Alpert School of Medicine at Brown University, Providence, RI.
  • Sodha NR; Division of Cardiothoracic Surgery, Department of Surgery, Warren Alpert School of Medicine at Brown University, Providence, RI.
  • Ventetuolo CE; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Warren Alpert School of Medicine at Brown University, Providence, RI; Department of Health Services, Policy and Practice, Brown School of Public Health, Providence, RI.
  • Eickhoff C; Department of Computer Science, Brown University, Providence, RI; Faculty of Medicine, University of Tübingen, Tübingen, Germany; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany.
J Thorac Cardiovasc Surg ; 2023 Nov 29.
Article in En | MEDLINE | ID: mdl-38040328
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Thorac Cardiovasc Surg Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Thorac Cardiovasc Surg Year: 2023 Document type: Article Country of publication: