6 citations · 11 across the 8 of their papers we have counts for
8 papers
DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion
Anthony Yazdani, Hossein Rouhizadeh, David Vicente Alvarez +1
This paper outlines the performance evaluation of a system for adverse drug event normalization, developed by the Data Science for Digital Health (DS4DH) group for the Social Media…
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events
Anthony Yazdani, Dimitrios Proios, Hossein Rouhizadeh +1
Current approaches for clinical information extraction are inefficient in terms of computational costs and memory consumption, hindering their application to process large-scale el…
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion
Boya Zhang, Nona Naderi, Fernando Jaume-Santero +1
This paper describes the work of the Data Science for Digital Health (DS4DH) group at the TREC Health Misinformation Track 2021. The TREC Health Misinformation track focused on the…
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou +2
We consider the hierarchical representation of documents as graphs and use geometric deep learning to classify them into different categories. While graph neural networks can effic…
Named entity recognition in chemical patents using ensemble of contextual language models
Jenny Copara, Nona Naderi, Julien Knafou +2
Chemical patent documents describe a broad range of applications holding key reaction and compound information, such as chemical structure, reaction formulas, and molecular propert…
Archetypes for Representing Data about the Brazilian Public Hospital Information System and Outpatient High Complexity Procedures System
Sergio Miranda Freire, Luciana Tricai Cavalini, Douglas Teodoro +1
The Brazilian Ministry of Health has selected the openEHR model as a standard for electronic health record systems. This paper presents a set of archetypes to represent the main da…