KFU team at the SMM4H task: BERT for the Rescue

Exploring semantic analysis of biomedical texts for identification of drugs with similar therapeutic effects

Leveraging Deep Neural Networks and Semantic Similarity Measures for Medical Concept Normalisation in User Reviews

Concept Linking in Medical Domain for Social Media Posts Using RNNs

Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French

Medical Concept Coding (MCD) is a crucial task in biomedical information extraction. Recent advances in neural network modeling have demonstrated its usefulness in the task of natural language processing.

Medical Concept Linking with RNNs

Identifying Disease-related Expressions in Reviews Using Conditional Random Fields

KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks

This work describes the participation of the KFU team in the CLEF eHealth 2017 challenge. Specifically, we participated in Task 1, namely "Multilingual Information Extraction - ICD-10 coding" for which we implemented recurrent neural networks to automatically assign ICD- 10 codes.

KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks

This work describes the participation of the KFU team in the CLEF eHealth 2017 challenge. Specifically, we participated in Task 1, namely "Multilingual Information Extraction - ICD-10 coding" for which we implemented recurrent neural networks to automatically assign ICD- 10 codes.

End-to-End Deep Framework for Disease Named Entity Recognition Using Social Media Data