High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models

arXiv:2403.05920v1 Announce Type: new
Abstract: Deep phenotyping is the detailed description of patient signs and symptoms using concepts from an ontology. The deep phenotyping of the numerous physician notes in electronic health records requires high throughput methods. Over the past thirty years, progress toward making high throughput phenotyping feasible. In this study, we demonstrate that a large language model and a hybrid NLP model (combining word vectors with a machine learning classifier) can perform high throughput phenotyping on physician notes …

abstract arxiv concepts cs.ai cs.cl electronic electronic health records health hybrid language large language making nlp nlp models notes ontology patient progress records type