Prototyping a precision oncology 3.0 rapid learning platform

Abstract

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.

Keywords

• Natural language processing
• Precision oncology
• Controlled natural language
• Nanopublication
• Treatment reasoning
• Rapid learning