An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients

• Xiaoyu Wu,

  Roles Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0009-0006-2186-3683

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• Isaac Luria,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Anesthesiology, University of Florida, GainesvilleFlorida, United States of America

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• Meisheng Xiao,

  Roles Writing – review & editing

  Affiliation Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

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• Patrick Tighe,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Orthopedic Surgery, University of Florida, GainesvilleFlorida, United States of America

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• Fei Zou,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliations Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

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• Baiming Zou

  Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: bzou@email.unc.edu

  Affiliations Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0000-0002-7879-9460

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