CPLLM: Clinical Prediction with Large Language Models

arXiv:2309.11295v2 Announce Type: replace
Abstract: We present Clinical Prediction with Large Language Models (CPLLM), a method that involves fine-tuning a pre-trained Large Language Model (LLM) for clinical disease and readmission prediction. We utilized quantization and fine-tuned the LLM using prompts. For diagnosis prediction, we predict whether patients will be diagnosed with a target disease during their next visit or in the subsequent diagnosis, leveraging their historical diagnosis records. We compared our results to various baselines, including RETAIN, and Med-BERT, the …

abstract arxiv clinical cs.ai cs.cl cs.lg diagnosis disease fine-tuning language language model language models large language large language model large language models llm patients prediction prompts quantization type will