B

Bc4chemd Ner Bio ClinicalBERT Finetuned Ner

Developed by commanderstrife
This model is a fine-tuned version of Bio_ClinicalBERT on the bc4chemd_ner dataset for chemical drug named entity recognition tasks.
Downloads 56
Release Time : 7/20/2022

Model Overview

This is a fine-tuned model for chemical drug named entity recognition (NER) tasks in biomedical and clinical texts, based on the Bio_ClinicalBERT architecture.

Model Features

High-precision Recognition
Achieves 89.44% precision and 87.77% recall in chemical drug named entity recognition tasks.
Biomedical Domain Optimization
Based on the Bio_ClinicalBERT pre-trained model, specifically optimized for biomedical and clinical texts.
End-to-end Solution
Provides a complete solution from text input to named entity recognition.

Model Capabilities

Chemical Drug Named Entity Recognition
Biomedical Text Processing
Clinical Document Analysis

Use Cases

Biomedical Research
Drug Identification in Literature
Automatically identify chemical drug names from biomedical literature
Helps researchers quickly locate relevant drug information
Clinical Document Processing
Electronic Medical Record Analysis
Extract patient medication information from clinical records
Assists in medical decision-making and adverse drug reaction monitoring
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase