Efficient large language models for the NHS and psychiatry
<p>Electronic Health Records (EHRs) contain large volumes of unstructured clinical text, produced for a large variety of reasons. The clinical notes within EHR can be full of technical jargon and have a low signal-to-noise ratio. This poses a challenge for healthcare providers like the UK Nati...
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Thèse |
| Langue: | English |
| Publié: |
2024
|
| Sujets: |