Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.

ABSTRACT: Disconnected cancer research data management and lack of information exchange about planned and ongoing research are complicating the utilisation of internationally collected medical information for improving cancer patient care. Rapidly collecting/pooling data can accelerate translational research in radiation therapy and oncology. The exchange of study data is one of the fundamental principles behind data aggregation and data mining. The possibilities of reproducing the original study results, performing further analyses on existing research data to generate new hypotheses or developing computational models to support medical decisions (e.g. risk/benefit analysis of treatment options) represent just a fraction of the potential benefits of medical data-pooling. Distributed machine learnin

SUBMITTER: Skripcak T 

PROVIDER: S-EPMC4648243 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature