Available at https://github.com/pabloRom2004/Insight-Buddy-AI-App
Manchester Medical Mining with Ensemble Methodologies
All models that have been finetuned will be hosted publicly on huggingface under my profile, link here:
https://huggingface.co/pabRomero
A list of models that have been finetuned in my profile and can be used with the app if they contain a .onnx file: (Conversion script for any NER model in the Desktop App Github repo)
BERT https://huggingface.co/google-bert/bert-base-uncased BioBERT https://huggingface.co/dmis-lab/biobert-base-cased-v1.2 ClinicalBERT https://huggingface.co/medicalai/ClinicalBERT?text=The+patient+needs+%5BMASK%5D. BioClinicalBERT https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT PubMedBERT https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext BioMedRoBERTa https://huggingface.co/allenai/biomed_roberta_base RoBERTa https://huggingface.co/FacebookAI/roberta-base RoBERTa Large https://huggingface.co/FacebookAI/roberta-large
@misc{romero2024insightbuddyaimedicationextractionentity, title={INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning}, author={Pablo Romero and Lifeng Han and Goran Nenadic}, year={2024}, eprint={2409.19467}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2409.19467}, }