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Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition - ACL Anthology
Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition - ACL Anthology

Clinical entity classification in electronic health records | Snorkel AI
Clinical entity classification in electronic health records | Snorkel AI

Clinical Concept Extraction | Papers With Code
Clinical Concept Extraction | Papers With Code

PDF] Clinical Entity Recognition for ICD-9 Code Prediction in Clinical Discharge Summaries | Semantic Scholar
PDF] Clinical Entity Recognition for ICD-9 Code Prediction in Clinical Discharge Summaries | Semantic Scholar

05.0.Clinical_Entity_Resolvers.ipynb - Colaboratory
05.0.Clinical_Entity_Resolvers.ipynb - Colaboratory

Extract and visualize clinical entities using Amazon Comprehend Medical | AWS Machine Learning Blog
Extract and visualize clinical entities using Amazon Comprehend Medical | AWS Machine Learning Blog

ON THE CLINICAL ENTITY
ON THE CLINICAL ENTITY

Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora - ScienceDirect
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora - ScienceDirect

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking - ACL Anthology
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking - ACL Anthology

Observable entities and Clinical findings - ppt download
Observable entities and Clinical findings - ppt download

Comparison of Clinical Entity Resolution Benchmarks - John Snow Labs
Comparison of Clinical Entity Resolution Benchmarks - John Snow Labs

Applied Sciences | Free Full-Text | A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts
Applied Sciences | Free Full-Text | A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts

NCATS on Twitter: "Read the latest research roundup from @rarediseasesnet! Through the Rare Diseases Clinical Research Network (RDCRN) consortia, physician scientists and their teams work together with patient advocacy groups to study
NCATS on Twitter: "Read the latest research roundup from @rarediseasesnet! Through the Rare Diseases Clinical Research Network (RDCRN) consortia, physician scientists and their teams work together with patient advocacy groups to study

Data types contributing to characterisation of a clinical entity. | Download Scientific Diagram
Data types contributing to characterisation of a clinical entity. | Download Scientific Diagram

Sick Building Syndrome is a Distinct Clinical Entity: We Have the Proof
Sick Building Syndrome is a Distinct Clinical Entity: We Have the Proof

Evaluation of clinical named entity recognition methods for Serbian electronic health records - ScienceDirect
Evaluation of clinical named entity recognition methods for Serbian electronic health records - ScienceDirect

Clinical entity classification in electronic health records | Snorkel AI
Clinical entity classification in electronic health records | Snorkel AI

Clinical entity classification in electronic health records | Snorkel AI
Clinical entity classification in electronic health records | Snorkel AI

Observable entities and Clinical findings - ppt download
Observable entities and Clinical findings - ppt download

Calcific Aortic Stenosis — A Clinical Entity | NEJM
Calcific Aortic Stenosis — A Clinical Entity | NEJM

Clinical Named Entity Recognition Methods: An Overview | SpringerLink
Clinical Named Entity Recognition Methods: An Overview | SpringerLink

LXXXVI Is Congenitally Short Esophagus Truly a Rare Clinical Entity? - William A. Lell, 1960
LXXXVI Is Congenitally Short Esophagus Truly a Rare Clinical Entity? - William A. Lell, 1960

Clinical Entity Recognition
Clinical Entity Recognition

Information entities vs Clinical entities | Download Scientific Diagram
Information entities vs Clinical entities | Download Scientific Diagram

Clinical entity classification in electronic health records | Snorkel AI
Clinical entity classification in electronic health records | Snorkel AI