L’intelligence hybride pour prédire l’évolution des maladies chroniques
Author:
Affiliation:
1. LS2N, Nantes Université, France
2. LS2N, CNRS, France
3. Faculty of Medicine, Nantes université, France
4. LS2N, IMT Atlantique, France
Funder
Région Pays de la Loire
European Union?s Horizon 2020
National Research Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3502178.3529109
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4. Vittorio Martinelli M Rodegher Lucia Moiola and Giacomo Comi. 2004. Late onset multiple sclerosis: Clinical characteristics prognostic factors and differential diagnosis. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 25 Suppl 4 (Dec. 2004) S350-5. https://doi.org/10.1007/s10072-004-0339-8 10.1007/s10072-004-0339-8
5. Vittorio Martinelli M Rodegher Lucia Moiola and Giacomo Comi. 2004. Late onset multiple sclerosis: Clinical characteristics prognostic factors and differential diagnosis. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 25 Suppl 4 (Dec. 2004) S350-5. https://doi.org/10.1007/s10072-004-0339-8
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