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

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 02 Jul 2021 English Publisher:ZenodoFunded by:EC | CAPABLE

Authors: Gilboa-Solomon, Flora; Quaglini, Silvana; Kogan, Alexandra; Glaser, Savannah; Medlock, Stephanie; Barkan, Ella; Lisowska, Aneta; +4 Authors

doi: 10.5281/zenodo.5159284 , 10.5281/zenodo.5159285

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

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Abstract

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

Related Organizations

University of Haifa
Israel
University of Pavia
Italy
Poznań University of Technology
Poland
Istituti Clinici Scientifici Maugeri IRCCS
Italy
Amsterdam UMC, location AMC
Netherlands

Keywords

logic-based reasoning, machine learning, patient and physician requirements, knowledge representation, AI framework

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