Search results for "Text Analytics" (8 results found)

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,…

Text Analytics and Sentiment Analysis in Healthcare Web 2.0

Sentiment analysis is a field in computational linguistics involving identification, extraction and classification of opinions and emotions expressed in natural language. The capture and analysis of such attitudes and opinions in an automated and structured fashion might offer a powerful technology to a number of problem domains, including business intelligence,…

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…

Prof Goran Nenadic

Prof Goran Nenadic is Professor in the School of Computer Science, University of Manchester, a group leader in the Manchester Institute of Biotechnology (MIB) and Health eResearch Centre (HeRC).

Training

gnTEAM provides traninig in topics related to text mining for undergraduate (BSc final year projects) and postgraudate students (MSc, MPhil, PhD and EngD projects). Final year undergraduate and MSc projects associated with the team are announced annually as part of the School of Computer Science taught programmes. The current research post-graduate…