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Paper Details

Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation.
PLoS One
4
2021
Patients, acute respiratory failure, patients
Aged, Deep Learning, Female, Hospital Mortality, Humans, Intensive Care Units, Male, Middle Aged, Models, Biological, Predictive Value of Tests, Respiration, Artificial, Time Factors
Author NameAffiliation
Naomi GeorgeUniversity of New Mexico Health Science Center
Naomi GeorgeHarvard T.H. Chan School of Public Health
Edward T MoseleyDana-Farber Cancer Institute
Rene EberMassachusetts Institute of Technology
Rene EberUniversite de Montpellier
Jennifer SiuHarvard T.H. Chan School of Public Health
Jennifer SiuUniversity of Toronto
Mathew SamuelHarvard T.H. Chan School of Public Health
Jonathan YamHarvard T.H. Chan School of Public Health
Kexin HuangHarvard T.H. Chan School of Public Health
Leo Anthony CeliHarvard T.H. Chan School of Public Health
Leo Anthony CeliMassachusetts Institute of Technology
Leo Anthony CeliBeth Israel Deaconess Medical Center
Charlotta LindvallDana-Farber Cancer Institute
Charlotta LindvallBrigham and Women's Hospital
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