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Optimisation des parcours patients pour lutter contre l'errance de diagnostic des patients atteints de maladies rares
A patient suffering from a rare disease in France has to wait an average of two years before being diagnosed.
Learning from both experts and data
In this context, it is common to rely first on an initial domain knowledge a priori before proceeding to an online data acquisition.
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task
In this work, we present our various contributions to the objective of building a decision support tool for the diagnosis of rare diseases.
Model-based Reinforcement Learning
reinforcement-learning
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