Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality
2018 · Anesthesiology · 190 citations
https://doi.org/10.1097/aln.0000000000002186
I
Ira Hofer
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Ira Hofer is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Cardiac, Anesthesia and Surgical Outcomes & Machine Learning in Healthcare & Hemodynamic Monitoring and Therapy. The author has an h-index of 22, co-authored 94 publications.
ORCID: 0000-0001-7456-6697Papers by this author
worksDevelopment and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set
2020 · npj Digital Medicine · 79 citations
https://doi.org/10.1038/s41746-020-0248-0
BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference
2018 · Genome biology · 62 citations
https://doi.org/10.1186/s13059-018-1513-2
Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis
2024 · Critical Care · 43 citations
https://doi.org/10.1186/s13054-024-04935-x
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
2023 · Annals of Internal Medicine · 40 citations
https://doi.org/10.7326/m23-0949
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
2024 · npj Digital Medicine · 15 citations
https://doi.org/10.1038/s41746-024-01141-5
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