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type: Class

Process
type: Class

Project
type: Class

Occurrent
type: Class

Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLtimorbidiTy pattErnS
ARG_2000028: PRJ-0079
type: Process
type: Entity
type: Project
identifier: PRJ-0079
type: Thing
type: Occurrent
most specific type: Project

individual
rights: termsOfUse
date: 2026-08-12T21:16:35
publisher: Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLtimorbidiTy pattErnS
type: Document
label: RDF description of Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLtimorbidiTy pattErnS - http://irises.unimore.it/resource/project/PRJ-0079