Abstract
BACKGROUND: We describe a prototype implementation of a platform that could underlie a Precision Oncology Rapid Learning system.
RESULTS: We describe the prototype platform, and examine some important issues and details. In the Appendix we provide a complete walk-through of the prototype platform.
CONCLUSIONS: The design choices made in this implementation rest upon ten constitutive hypotheses, which, taken together, define a particular view of how a rapid learning medical platform might be defined, organized, and implemented.
Original language | English |
---|---|
Pages (from-to) | 341 |
Journal | BMC Bioinformatics |
Volume | 19 |
Issue number | 1 |
DOIs | |
Publication status | Published - Sep 26 2018 |
Keywords
- Algorithms
- Education, Medical
- Humans
- Medical Oncology
- Precision Medicine
- Publications
- Software