SDG_clinical_ner

Overview

This repository contains the code and experiments accompanying the paper:

LLM-Based Framework for Synthetic Data Generation in Portuguese Clinical NER Luís Henriques, Nuno Guimarães, Alípio Jorge, 2025 [https://link.springer.com/chapter/10.1007/978-3-032-05176-9_26]

The primary analysis and results are implemented in Jupyter Notebooks. This repo allows you to reproduce key experiments, explore the methods, and adapt the workflows for your own research.

Repository Structure

├── notebooks/        # Jupyter Notebook with code to generate synthetic records
├── requirements.txt  # Python dependencies
└── README.md

Getting Started

Prerequisites

• Python 3.8+
• Jupyter Notebook or JupyterLab

Installation

Clone the repo and install dependencies:

git clone https://github.com/LIAAD/SDG_clinical_ner
cd SDG_clinical_ner
pip install -r requirements.txt

Running the Notebooks

Launch Jupyter and open the main notebook:

jupyter notebook

Then navigate to notebooks/ and run the cells sequentially.

Citing

If you use this code in your research, please cite the paper:

@InProceedings{10.1007/978-3-032-05176-9_26,
author="Henriques, Luís and Guimarães, Nuno and Jorge, Alípio",
editor="Valente de Oliveira, José and Leite, João and Rodrigues, João and Dias, João and Cardoso, Pedro",
title="LLM--Based Framework for Synthetic Data Generation in Portuguese Clinical NER",
booktitle="Progress in Artificial Intelligence",
year="2026",
publisher="Springer Nature Switzerland",
address="Cham",
pages="335--347",
isbn="978-3-032-05176-9"
}

Future Work

• Check for depreciated code
• Convert notebooks into standalone Python scripts