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Paper Details

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.
Artif Intell Med
2
2023
delirium, patients
Critical Care, Deep Learning, Delirium, Electronic Health Records, Humans, Neural Networks, Computer
Author NameAffiliation
Seyedmostafa SheikhalishahiFondazione Bruno Kessler Research Institute, Italy University of Trento
Anirban BhattacharyyaMayo Clinic
Leo Anthony CeliBeth Israel Deaconess Medical Center, USA Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Harvard T.H. Chan School of Public Health
Venet OsmaniFondazione Bruno Kessler Research Institute, University of Sheffield
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