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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; Cornet, Ronald; Glaser, Savannah; Barkan, Ella; Lisowska, Aneta; +3 Authors

doi: 10.5281/zenodo.5159166 , 10.5281/zenodo.5159167

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 that 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

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Keywords

machine learning, patient requirements, knowledge representation, caregiver requirements, AI framework

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