Article

Evaluating large language models for predicting psychiatric acute readmissions from clinical notes of population-based EHR

2025-03-11

Abstract excerpt

<h4> ABSTRACT </h4> Psychiatric patients often have complex symptoms and anamneses recorded as unstructured clinical notes. Large language models (LLM) now enable large-scale utilization of text data; however, there is a current lack of LLMs specialized for psychiatric clinical data, as well as non-English data, haltering the application of LLMs across diverse clinical domains and countries. We present PsyRoBERT...

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Literature Corpus work: 85ce7c2a-780a-5826-88cf-ac66fc958e28
DOI: 10.1101/2025.03.07.25323558

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