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Psybertpt

Developed by psybertpt
The first named entity recognition model specifically for Portuguese psychiatric clinical texts, annotating 9 categories from admission records of Brazilian psychiatric emergency hospitals.
Downloads 78
Release Time : 3/31/2023

Model Overview

This model focuses on named entity recognition in Portuguese psychiatric clinical texts, capable of identifying various clinical entity categories such as self-harm behaviors, diagnoses, and medications.

Model Features

Psychiatry-specific
The first named entity recognition model specifically designed for Portuguese psychiatric clinical texts
Comprehensive entity coverage
Covers 9 psychiatric clinical entity categories including self-harm behaviors, medications, symptoms, etc.
Real clinical data
Trained on real admission records from Brazilian psychiatric emergency hospitals

Model Capabilities

Clinical text entity recognition
Psychiatric term extraction
Portuguese medical text processing

Use Cases

Clinical document processing
Admission record analysis
Automatically identify key clinical information in psychiatric patient admission records
Accuracy 0.65 (based on annotated data)
Medication monitoring
Extract patient medication information from clinical texts
Psychiatric research
Epidemiological research
Extract symptom and diagnosis data from clinical records for research analysis
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