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Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert Freeman, Ira S. Hofer, Girish N. Nadkarni, Prem Timsina, Arash Kia, Matthew A. Levin
- Blavatnik Family Women’s Health Research Institute
- Graduate School of Biomedical Sciences
- Icahn School of Medicine at Mount Sinai
- Population Health Science and Policy
- Anesthesiology, Perioperative, and Pain Medicine
- Division of Data-Driven and Digital Medicine
- The Charles Bronfman Institute for Personalized Medicine
- Artificial Intelligence and Human Health
- Friedman Brain Institute
- Genetics and Genomic Sciences
- Mount Sinai Clinical Intelligence Institute
Research output: Contribution to journal › Article › peer-review