Ontology highlight
ABSTRACT: Background
Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses.Objective
To automatically parse, categorize, and aggregate clinical molecular profile data generated during cancer care as well as use this data to address multiple secondary use cases.Methods
A system to parse, categorize and aggregate molecular profile data was created. A naÿve Bayesian classifier categorized results according to clinical groups. The accuracy of these systems were validated against a published expertly-curated subset of molecular profiling data.Results
Following one year of operat
SUBMITTER: Rioth MJ
PROVIDER: S-EPMC4926741 | biostudies-literature | 2016 Jul
REPOSITORIES: biostudies-literature