CORDIS Project
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EXA MODE focuses on extracting valuable insights from large volumes of heterogeneous healthcare data using advanced analytics. It aims to develop tools for knowledge discovery that enhance decision-making in healthcare settings by utilizing deep learning and semantic networks.
Exascale volumes of diverse data from distributed sources are continuously produced.
Healthcare data stand out in the size produced (production 2020 >2000 exabytes), heterogeneity (many media, acquisition methods), included knowledge (e.g. diagnostic reports) and commercial value.
The supervised nature of deep learning models requires large labeled, annotated data, which precludes models to extract knowledge and value. EXA MODE solves this by allowing easy & fast, weakly supervised knowledge dis…
HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Padova
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Bulgaria, Sofia
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
STICHTING RADBOUD UNIVERSITEIT
Netherlands, Nijmegen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Poland, WROCLAW
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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