2011 – This year we took again part in the annual i2b2 shared task, an international text mining challenge in the clinical/health-care domain. The team composed of members from University of Novi Sad (Kovacevic, A.) and University of Manchester (Dehghan, A., Nenadic G. and Keane, J.). The aim of the challenge…
Decision Support Systems for Clinical Radiological Practice
A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries
Governance for healthcare text analytics
New publications on governanace for healthcare text analytics: Ford E, Oswald M, Hassan L, Bozentko K, Nenadic G, Cassell J: Should free-text data in electronic medical records be shared for research? A citizens’ jury study in the UK. Journal of Medical Ethics 2020;46:367-377 (link) Jones KH, Ford EM, Lea N,…
Dr Idoia Gomez-Paramio
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…
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…
Modelling and Extraction of Variability in Free-text Medication Prescriptions from an Anonymised Primary Care Electronic Medical Record Research Database
i2b2/UTHealth 2014
These are the rules and the dictionaries used in the i2b2/UTHealth 2014 Challenge in Natural Language Processing for Clinical Data. The task involved the identification of heart disease risk factors from longitudianl clinical notes of diabetic records. The methodology is knowledge-driven and the system implements local lexicalised rules (based on…
DOSES
DOSES DOSES (DOSage Extraction System) extracts and represents free-text medication prescription instruction information in a structured form. In particular, it represents the variability and flexibility in drug directions by including minimum and maximum values for drug dosage, frequency and interval of administration, as well as optional choices. In order to comprehensively…