amin-nejad/mimic-text-generation
Master's project
This project helps medical researchers and data scientists working with clinical notes to generate additional realistic text for training and testing NLP models. It takes existing medical text data, specifically from the MIMIC-III dataset, and outputs synthetic, but medically plausible, free-text notes. This is ideal for those needing to expand their datasets without privacy concerns or manual data entry.
No commits in the last 6 months.
Use this if you need to augment existing medical text datasets to improve the performance of your NLP models, especially when dealing with limited data resources.
Not ideal if you are looking for a general-purpose text generator for domains outside of clinical or medical text.
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Last pushed
Sep 11, 2019
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