Enhancing Health Research with Machine Learning: Practical Case Studies Using the All of Us Researcher Workbench
Machine learning is revolutionizing health research by enabling scalable analysis across complex datasets. The All of Us Research Program offers unprecedented access to a wealth of health data. To harness this potential, researchers must navigate the All of Us database structure, develop machine lea...
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| Main Authors: | Jonathan R. Holt, Stefanee Tillman, Javan Carter, Edward Preble, Sheryl C. Cates, Daniel Brannock, Michael Long, John McCarthy, Leslie Zapata Leiva, Jamboor K. Vishwanatha, Toufeeq Syed, Legand Burge, Robert T. Mallet, Shelly Kowalczyk, Jennifer D. Uhrig, Megan A. Lewis |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Data Science in Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/26941899.2025.2523871 |
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