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This repository contains the implementation and supporting code for the research study “Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages”.
To compare the performance of Large Language Models (LLMs) and Classical Machine Learning (CML) approaches in predicting COVID-19 mortality using a high-dimensional structured dataset.