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A Practical Guide for NLP and LLM for SDOH

If you like our project, please give us a star ⭐ on GitHub for the latest update.

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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:

📣 Update News

[2026-03-09] Systematic Reivew accepted at JMIR and available at doi.org/10.2196/83793

[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

⚡ Contributing

If you want to add your work or model to this list, please do not hesitate to email srajwal@emory.edu. Markdown format:

* [**Name of Conference or Journal + Year**] Paper Name. [[paper]](link) [[code]](link)

🤗 What is This Survey About?

This survey provides a comprehensive overview of the principles, applications, and challenges faced by NLP techniques in SDoH. We address the following specific questions:

  1. 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.

📚 Studies

THE LIST IS CURRENTLY IN-PROGRESS, PLEASE CHECK BACK LATER.

📑 Citation

Please consider citing 📑 our papers if our repository is helpful to your work.

@Article{info:doi/10.2196/83793,
author="Rajwal, Swati
and Pandey, Avinash Kumar
and Zhang, Ziyuan
and Chen, Yankai
and Liu, Michael X.
and Das, Sudeshna
and Rogers, Hannah
and Sarker, Abeed
and Xiao, Yunyu",
title="Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review",
journal="JMIR Res Protoc",
year="2026",
doi="10.2196/83793",
url="https://doi.org/10.2196/83793"
}
@Article{info:doi/10.2196/66094,
author="Rajwal, Swati
and Zhang, Ziyuan
and Chen, Yankai
and Rogers, Hannah
and Sarker, Abeed
and Xiao, Yunyu",
title="Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review",
journal="JMIR Res Protoc",
year="2025",
month="Jan",
day="21",
volume="14",
pages="e66094",
issn="1929-0748",
doi="10.2196/66094",
url="https://www.researchprotocols.org/2025/1/e66094",
url="https://doi.org/10.2196/66094"
}

👍 Acknowledgement

Website License

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Systematic review to identify and highlight various Natural Language Processing (NLP) techniques, including the Large Language Models (LLMs), used for SDOH tasks.

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