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.
Current projects include:
Evaluating ChatGPT text-mining of clinical records for obesity monitoring. ArXiV (pre-print version)
Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogs. PLos One.
NEW: PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records. Published in Scientific Reports. Pet_BERT - a large language model for outbreak detection.
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