Search results for "Machine Learning" (19 results found)

DEPEND

Mining free-text patient feedback comments As part of the NIHR-funded project Developing and Enhancing the Usefulness of Patient Experience and Narrative Data (DEPEaND), we have developed a text mining software to analyse themes and sentiment expressed in free-text patient service feedback comments (e.g. Family and Friends Test). The topic-specific opinion…

Learning to identify Protected Health Information in free text

Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes The paper presents our experience in learning to identify personal information as part of the 2016 CEGS N-GRID Shared Tasks Track 1, which evaluated de-identification methods on a set of psychiatric…

CliNER

About CliNER CliNER is a command line tool for identification of mentions of four categories of clinically relevant events: Problems, Tests, Treatments and Clinical Departments. It also recognises and normalises clinical temporal expressions. It was developed as part of the i2b2 2012 text mining challenge and therefore has been trained…