37 citations · 42 across the 6 of their papers we have counts for
6 papers
Differentiable latent structure discovery for interpretable forecasting in clinical time series
Ivan Lerner, Jean Feydy, Alexandre Kalimouttou +2
Background: We introduce StructGP, a continuous-time multi-task Gaussian process that couples process convolutions with differentiable structure learning to uncover a sparse, order…
Spectral structure learning for clinical time series
Ivan Lerner, Anita Burgun, Francis Bach
We develop and evaluate a structure learning algorithm for clinical time series. Clinical time series are multivariate time series observed in multiple patients and irregularly sam…
Facilitating phenotyping from clinical texts: the medkit library
Antoine Neuraz, Ghislain Vaillant, Camila Arias +8
Phenotyping consists in applying algorithms to identify individuals associated with a specific, potentially complex, trait or condition, typically out of a collection of Electronic…
Learning the grammar of drug prescription: recurrent neural network grammars for medication information extraction in clinical texts
Ivan Lerner, Jordan Jouffroy, Anita Burgun +1
In this study, we evaluated the RNNG, a neural top-down transition based parser, for medication information extraction in clinical texts. We evaluated this model on a French clinic…
Terminologies augmented recurrent neural network model for clinical named entity recognition
Ivan Lerner, Nicolas Paris, Xavier Tannier
We aimed to enhance the performance of a supervised model for clinical named-entity recognition (NER) using medical terminologies. In order to evaluate our system in French, we bui…
Hybrid Approaches for our Participation to the n2c2 Challenge on Cohort Selection for Clinical Trials
Xavier Tannier, Nicolas Paris, Hugo Cisneros +10
Objective: Natural language processing can help minimize human intervention in identifying patients meeting eligibility criteria for clinical trials, but there is still a long way…