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Clément Piat

CentraleSupélec

Labo M.A.S

Grande Voie des Vignes

Châtenay-Malabry CEDEX, 92295

France

SCHOLARLY PAPERS

1

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Scholarly Papers (1)

1.

A Validated and Explainable Deep Learning Model Instantly Predicts Survival from Consultation Reports

Number of pages: 22 Posted: 07 Apr 2023
CentraleSupélec, CentraleSupélec, CentraleSupélec, CentraleSupélec, Institut d’Hématologie et d’Oncologie Pédiatrique (iHOPe) - Centre Léon Bérard, Gustave Roussy - Drug Development Department (DITEP), Institut d’Hématologie et d’Oncologie Pédiatrique (iHOPe) - Centre Léon Bérard, Télécom Paris, Gustave Roussy, Gustave Roussy - Drug Development Department (DITEP), Gustave Roussy, University of Claude Bernard Lyon 1 - Medical Oncology Department and Gustave Roussy
Downloads 114 (621,896)

Abstract:

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Deep learning, electronic health records, free-text, natural language processing, transformers, prognosis, neoplasms