In collaboration with Universities of Durham and Manchester we are using a growing range of complexity of text mining methodologies to unlock the clinical meaning in over 10million clinical free-texts. These include supervised methodologies as well as natural language processing and artificial intelligence.
Check out our recent publications below.
Evaluating ChatGPT text-mining of clinical records for obesity monitoring.
Using topic modelling for unsupervised identification of a disease outbreak in UK dogs.
PetBERT: automated ICD-11 syndromic disease coding of veterinary electronic health records.
From lexical structures to simple and more advanced pattern recognition searches.
Explainable text-tabular models for predicting mortality risk in companion animals
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