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2020 – today
- 2024
[c6]Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau:
LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. ESANN 2024- [c5]Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau:
Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia. KES 2024: 2597-2606 - 2023
- [c4]Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau:
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. DSAA 2023: 1-12 - [c3]Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau:
A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. ESANN 2023 - 2022
- [c2]Hugo Boisaubert
, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet:
Simulation of the Evolution of a Virtual Patient's Physiological Status in the Operating Room: Application to Computer-assisted Anaesthesia Training. HEALTHINF 2022: 228-239 - [c1]Hugo Boisaubert, Lucas Vincent, Corinne Lejus-Bourdeau, Christine Sinoquet:
Simulating the Vital Signs of a Digital Patient Undergoing Surgery, for the Purpose of Training Anaesthetists. BIOSTEC (Selected Papers) 2022: 353-376
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