CAPABLE D5.2: Framework Defined (Including Patients' Needs) Based on Available Data and Modelling Approaches

Autor:	Gilboa-Solomon, Flora, Quaglini, Silvana, Kogan, Alexandra, Glaser, Savannah, Medlock, Stephanie, Barkan, Ella, Lisowska, Aneta, Śniatała, Konrad, Wilk, Szymon, Tibollo, Valentina, Glasspool, David
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	logic-based reasoning machine learning patient and physician requirements knowledge representation GeneralLiterature_MISCELLANEOUS AI framework
DOI:	10.5281/zenodo.5159284
Popis:	The aim of this deliverable is to describe a framework which is part of the CAPABLE system architecture. A framework is defined as a set of concepts, libraries, tools, practices, and analytic methodologies. In this document, we focus on the artificial intelligence (AI) framework, while we consider AI in a broad notion that covers formal knowledge representation and logic-based reasoning, as well as machine learning techniques. This document describes the means by which the AI framework supports the requirements of melanoma and renal cancer patients, their caregivers, and physicians. This deliverable is a part of a project receiving funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 875052
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99295c2f8f56606a539b3f6e78ba0cd6 Zobrazit plný text záznamu