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Ira Hofer
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2020 – today
- 2024
- [j4]Faris F. Gulamali
, Pushkala Jayaraman
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. npj Digit. Medicine 7(1) (2024) - [j3]Lathan Liou
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. npj Digit. Medicine 7(1) (2024) - 2023
- [c1]Faris F. Gulamali, Ashwin Sawant, Ira Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni:
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). MLHC 2023: 230-247 - [i1]Faris F. Gulamali, Ashwin S. Sawant, Lora Liharska, Carol R. Horowitz, Lili Chan, Patricia H. Kovatch, Ira Hofer, Karandeep Singh, Lynne D. Richardson, Emmanuel Mensah, Alexander W. Charney, David L. Reich, Jianying Hu, Girish N. Nadkarni:
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. CoRR abs/2311.03425 (2023) - 2021
- [j2]Christine K. Lee, Muntaha Samad, Ira Hofer, Maxime Cannesson
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality. npj Digit. Medicine 4 (2021) - 2020
- [j1]Ira Hofer, Christine K. Lee, Eilon Gabel
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set. npj Digit. Medicine 3 (2020)
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