Classifying Cancer Stage with Open-Source Clinical Large Language Models

arXiv:2404.01589v1 Announce Type: new
Abstract: Cancer stage classification is important for making treatment and care management plans for oncology patients. Information on staging is often included in unstructured form in clinical, pathology, radiology and other free-text reports in the electronic health record system, requiring extensive work to parse and obtain. To facilitate the extraction of this information, previous NLP approaches rely on labeled training datasets, which are labor-intensive to prepare. In this study, we demonstrate that without any labeled training …

abstract arxiv cancer classification clinical cs.ai cs.cl electronic electronic health record form free health information language language models large language large language models making management oncology pathology patients radiology reports stage staging text treatment type unstructured work