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Biobert Diseases Ner
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Biobert Diseases Ner
Developed by alvaroalon2
This model is fine-tuned on the BC5CDR and NCBI Disease corpora based on BioBERT, specifically designed for disease named entity recognition tasks in the biomedical domain.
Downloads 6,521
Release Time : 3/2/2022
Model Overview
This fine-tuned model is used to identify disease entities in biomedical texts and can be deployed in BioNER/BioNEN systems.
Model Features
Biomedical Domain Optimization
Specially optimized for biomedical texts, capable of accurately identifying disease-related entities.
Multi-Dataset Training
Fine-tuned on two authoritative disease datasets, BC5CDR and NCBI, enhancing the model's generalization capability.
Plug-and-Play
Can be directly integrated into BioNER/BioNEN systems for easy deployment.
Model Capabilities
Biomedical Text Analysis
Disease Entity Recognition
Named Entity Labeling
Use Cases
Biomedical Research
Medical Literature Analysis
Automatically extracts disease-related information from medical research papers
Improves efficiency in literature retrieval and analysis
Electronic Medical Record Processing
Identifies disease entities from clinical records
Assists in medical information extraction and classification
Health Informatics
Medical Knowledge Graph Construction
Extracts disease entities from text data for knowledge graphs
Supports medical knowledge management and reasoning
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