| Назив: | ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines |
Аутори: | Dominguez, Jesus; Prociuk, Denys; Marovic, Branko; Cyras, Kristijonas; Cocarascu, Oana; Ruiz, Francis; Mi, Ella; Mi, Emma; Ramtale, Christian; Rago, Antonio;
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Година: | 2024 |
Публикација: | LEARNING HEALTH SYSTEMS |
ISSN: | 2379-6146 LEARNING HEALTH SYSTEMS Претражи идентификатор |
Тип резултата: | Научни чланак |
Колација: | 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 |
Пројекат: | 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 |
Извор метаподатака: | (Preuzeto iz Nasi u WoS) |
М-категорија: | 21M21 - Водећи међународни часопис категорије M21 |