Prototyping a precision oncology 3.0 rapid learning platform. Sweetnam, C., Mocellin, S., Krauthammer, M., Knopf, N., Baertsch, R., & Shrager, J. BMC bioinformatics, 19(1):341, sep, 2018.
doi  abstract   bibtex   
We describe a prototype implementation of a platform that could underlie a Precision Oncology Rapid Learning system. 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. 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.
@article{Sweetnam2018,
abstract = {We describe a prototype implementation of a platform that could underlie a Precision Oncology Rapid Learning system. 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. 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.},
author = {Sweetnam, Connor and Mocellin, Simone and Krauthammer, Michael and Knopf, Nathaniel and Baertsch, Robert and Shrager, Jeff},
doi = {10.1186/s12859-018-2374-0},
issn = {14712105},
journal = {BMC bioinformatics},
keywords = {Controlled natural language,Nanopublication,Natural language processing,Precision oncology,Rapid learning,Targeted therapies,Treatment reasoning,Tumor boards},
language = {eng},
month = {sep},
number = {1},
pages = {341},
pmid = {30257653},
title = {{Prototyping a precision oncology 3.0 rapid learning platform}},
volume = {19},
year = {2018}
}

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