Prototyping a precision oncology 3.0 rapid learning platform

Prototyping a precision oncology 3.0 rapid learning platform

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 plat...

Full description

Bibliographic Details
Main Authors: Connor Sweetnam, Simone Mocellin, Michael Krauthammer, Nathaniel Knopf, Robert Baertsch, Jeff Shrager
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Natural language processing
Precision oncology
Controlled natural language
Nanopublication
Treatment reasoning
Rapid learning
Online Access:http://link.springer.com/article/10.1186/s12859-018-2374-0

Internet

http://link.springer.com/article/10.1186/s12859-018-2374-0

Similar Items