Article

Large-scale identification of social and behavioral determinants of health from clinical notes: Comparison of Latent Semantic Indexing and Generative Pretrained Transformer (GPT) models

2024-04-22

Abstract excerpt

<h4>Background</h4> Social and behavioral determinants of health (SBDH) are associated with a variety of health and utilization outcomes, yet these factors are not routinely documented in the structured fields of electronic health records (EHR). The objective of this study was to evaluate different machine learning approaches for detection of SBDH from the unstructured clinical notes in the EHR. <h4>Methods</h4> L...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 18a21711-e6b3-58c7-8afc-5ad954ab7015
DOI: 10.1101/2024.04.22.24306142

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Large-scale identification of social and behavioral determinants of health from clinical notes: Comparison of Latent Semantic Indexing and Generative Pretrained Transformer (GPT) modelsDOI 10.1101/2024.04.22.24306142Read

Predicting Behavioral Determinants of Health from Clinical Text Using Transformer Models and BiLSTMSemantic proximity Read

Comparing natural language processing representations of disease sequences for prediction in the electronic healthcare recordSemantic proximity Read

Large language models improve transferability of electronic health record-based predictions across countries and coding systemsSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Large Language Models for Cardiovascular Disease, Cancer, and Mental Disorders: A Review of Systematic ReviewsSemantic proximity Read

SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from clinical notesSemantic proximity Read

Enformer: An encoder-decoder generative model to enhance prediction of disease outcomes using electronic health recordsSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical RecordsSemantic proximity Read

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studiesSemantic proximity Read

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read