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eNauka >  Results >  ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines
Title: ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines
Authors: Dominguez, Jesus; Prociuk, Denys; Marovic, Branko; Cyras, Kristijonas; Cocarascu, Oana; Ruiz, Francis; Mi, Ella; Mi, Emma; Ramtale, Christian; Rago, Antonio;
Darzi, Ara; Toni, Francesca; Curcin, Vasa; Delaney, Brendan;
Issue Date: 2024
Publication: LEARNING HEALTH SYSTEMS
ISSN: 2379-6146 LEARNING HEALTH SYSTEMS Search Idenfier
Type: Article
Collation: vol. 8 br. 2
DOI: 10.1002/lrh2.10391
WoS-ID: 001066373300001
Scopus-ID: 2-s2.0-85170654120
URI: https://enauka.gov.rs/handle/123456789/993944
Project: Engineering and Physical Sciences Research Council [EP/P029558/1]
Engineering and Physical Sciences Research Council Global Challenges Research Fund grant ROAD2H [EP/P029558/1]
UK Research and Innovation
Health Data Research UK
National Institute for Health and Care Research (NIHR) Imperial Patient Safety Translational Research Centre
NIHR Imperial Biomedical Research Centre
Engineering and Physical Sciences Research Council [EP/P029558/1]
Engineering and Physical Sciences Research Council Global Challenges Research Fund grant ROAD2H [EP/P029558/1]
UK Research and Innovation
Health Data Research UK
National Institute for Health and Care Research (NIHR) Imperial Patient Safety Translational Research Centre
NIHR Imperial Biomedical Research Centre
GCRF [EP/P029558/1] Funding Source: UKRI
MRC [HDR-23004] Funding Source: UKRI
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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