Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment

• Thesath Nanayakkara ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: tcn10@pitt.edu

  Affiliation Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, 15213, United States of America

  https://orcid.org/0000-0003-0443-8475

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• Gilles Clermont,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Writing – review & editing

  Affiliation Department of Critical Care Medicine, The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine Pittsburgh, PA, 15213, United States of America

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• Christopher James Langmead,

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

  Affiliation Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, United States of America

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• David Swigon

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

  Affiliation Department of Mathematics, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, United States of America

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