Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing

arXiv:2410. 15051v3 Announce Type: replace-cross Abstract: Identifying patient diagnoses from hospital discharge letters is essential for large-scale cohort selection and epidemiological research, but traditional supervised approaches require extensive manual annotation, which is often impractical for large textual datasets.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

• llms
• rag
• nlp