This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $300,000 to Arizona State University to develop a machine learning framework for training models across hospitals on electronic health records without sharing patient data. The framework aims to address fairness and mitigate biases by training representation learning algorithms jointly across multiple sites. It will embed fair representation learning and federated machine learning techniques to evaluate applicability for precision population health, with a focus on addressing screening and treatment disparities in breast cancer. The grant also supports curriculum development on fairness in machine learning and federated learning. Work will conclude with collaborative model deployment across academic and medical institutions.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 9/7/22 |