| Naziv: | ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines |
Autori: | Dominguez, Jesus; Prociuk, Denys; Marovic, Branko; Cyras, Kristijonas; Cocarascu, Oana; Ruiz, Francis; Mi, Ella; Mi, Emma; Ramtale, Christian; Rago, Antonio;
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Godina: | 2024 |
Publikacija: | LEARNING HEALTH SYSTEMS |
ISSN: | 2379-6146 LEARNING HEALTH SYSTEMS Pretraži identifikator |
Tip rezultata: | Naučni članak |
Kolacija: | 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 |
Projekat: | 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 |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) |
M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
