Statements (75)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:adapted_into |
medical terminology
BERT pre-training |
| gptkbp:applies_to |
healthcare
|
| gptkbp:based_on |
BERT architecture
|
| gptkbp:can_be_used_for |
information extraction
|
| gptkbp:collaborated_with |
academic institutions
medical institutions |
| gptkbp:developed_by |
gptkb:Google
machine learning techniques |
| gptkbp:enhances |
clinical decision support
|
| gptkbp:example |
domain-specific language model
|
| gptkbp:fine_tuned_on |
clinical notes
|
| gptkbp:has_applications_in |
biomedical informatics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Clinical BERT
|
| gptkbp:improves |
medical NLP tasks
|
| gptkbp:is_analyzed_in |
performance metrics
|
| gptkbp:is_applied_in |
gptkb:medical_research
|
| gptkbp:is_available_in |
gptkb:Hugging_Face_model_hub
|
| gptkbp:is_beneficial_for |
patient data analysis
|
| gptkbp:is_collaborative_with |
healthcare providers
|
| gptkbp:is_designed_for |
gptkb:healthcare_professionals
|
| gptkbp:is_documented_in |
academic papers
|
| gptkbp:is_engaged_in |
data-driven healthcare solutions
patient data mining |
| gptkbp:is_enhanced_by |
transfer learning
|
| gptkbp:is_evaluated_by |
baseline models
clinical relevance accuracy in predictions clinical datasets |
| gptkbp:is_explored_in |
healthcare analytics
health outcomes research disease prediction |
| gptkbp:is_focused_on |
improving patient care
|
| gptkbp:is_incorporated_in |
healthcare applications
healthcare software solutions |
| gptkbp:is_influenced_by |
gptkb:BERT
|
| gptkbp:is_integrated_with |
AI technologies
clinical workflows |
| gptkbp:is_optimized_for |
medical language understanding
|
| gptkbp:is_part_of |
AI-driven healthcare solutions
AI research in healthcare transformer models AI in medicine NLP tools for healthcare |
| gptkbp:is_promoted_by |
healthcare AI initiatives
|
| gptkbp:is_recognized_for |
improving healthcare delivery
advancing medical NLP |
| gptkbp:is_related_to |
natural language processing
|
| gptkbp:is_supported_by |
gptkb:guidelines
gptkb:scientific_community clinical research funding |
| gptkbp:is_tested_for |
real-world applications
traditional methods clinical tasks real patient data |
| gptkbp:is_trained_in |
gptkb:MIMIC-III_dataset
|
| gptkbp:is_used_for |
sentiment analysis in healthcare
|
| gptkbp:is_used_in |
electronic health records
medical research studies |
| gptkbp:is_utilized_by |
data scientists
|
| gptkbp:is_utilized_for |
clinical documentation
clinical trial analysis patient safety analysis |
| gptkbp:is_utilized_in |
predictive modeling
clinical research healthcare analytics |
| gptkbp:notable_contributor |
open-source projects
|
| gptkbp:provides_support_for |
medical coding
|
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
patient outcome prediction
|
| gptkbp:used_for |
clinical text classification
|
| gptkbp:bfsParent |
gptkb:BERT
gptkb:Super_GLUE_benchmark |
| gptkbp:bfsLayer |
5
|