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Clinicalnerpt Diagnostic

Developed by pucpr
BioBERTpt-based Portuguese clinical named entity recognition model, specialized in diagnosis-type entity recognition
Downloads 55
Release Time : 3/2/2022

Model Overview

This model is part of the BioBERTpt project, specifically designed to identify diagnosis-type named entities in Portuguese clinical texts, compatible with the Unified Medical Language System (UMLS).

Model Features

UMLS Compatibility
The entities recognized by the model are compatible with the Unified Medical Language System standard
Domain Optimization
Specially trained on clinical domain corpus (SemClinBr)
Transfer Learning
Utilizes the BioBERTpt pre-trained model for transfer learning to enhance performance

Model Capabilities

Clinical Text Analysis
Medical Entity Recognition
Portuguese Language Processing

Use Cases

Clinical Document Processing
Electronic Medical Record Analysis
Extract diagnostic information from Portuguese electronic medical records
Can identify clinical entities such as 'voiding cystourethrography'
Medical Report Processing
Automatically process key information in clinical examination reports
Can identify examination result descriptions like 'mild congestion'
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