This is an actively updated list of practical guide resources for Natural Language Processing & Large Language Models for Social Determinants of Health (SDOH). It's based on our survey paper:
[2024-09-03] JMIR Research Protocol Accepted and available at doi.org/10.2196/66094
[2024-09-03] JMIR Research Protocol Preprint available preprints.jmir.org/preprint/66094
[2024-08-21] Prospero registration approved (ID=CRD42024578082)
[2024-08-10] Title & Abstract Screening begins
[2024-08-09] Prospero registration submitted
If you want to add your work or model to this list, please do not hesitate to email [email protected]. Markdown format:
* [**Name of Conference or Journal + Year**] Paper Name. [[paper]](link) [[code]](link)This survey provides a comprehensive overview of the principles, applications, and challenges faced by NLP techniques in SDoH. We address the following specific questions:
- What are the various Natural Language Processing (NLP)-based techniques or models that exist in literature for the detection, identification, extraction, or classification of social determinants of health (SDoH)? What are the effectiveness and accuracy of such techniques/models?
This survey aims to provide insights into the opportunities and challenges of NLP/LLMs in SDoH, and serve as a practical resource for constructing effective SDoH NLP/LLMs.
THE LIST IS CURRENTLY IN-PROGRESS, PLEASE CHECK BACK LATER.
Please consider citing 📑 our paper if our repository is helpful to your work.
@article{}- GitHub Repository template
- Parts of this web page were adapted from the Nerfies page.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
