Autori: Rago Antonio
| Naslov | ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines (Article) |
| Autori | Dominguez Jesus Prociuk Denys  Marovic Branko S Cyras Kristijonas Cocarascu Oana Ruiz Francis Mi Ella Mi Emma Ramtale Christian Rago Antonio Darzi Ara Toni Francesca Curcin Vasa Delaney Brendan
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| Info | LEARNING HEALTH SYSTEMS, (2024), vol. 8 br. 2, str. - |
| 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 |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
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