| Predicting risk of hospital admission in patients with suspected COVID-19 in a community setting: protocol for development and validation of a multivariate risk prediction tool AB Espinosa-Gonzalez, AL Neves, F Fiorentino, D Prociuk, L Husain, ... JMIR research protocols 10 (5), e29072, 2021 | 9 | 2021 |
| Argumentation for explainable reasoning with conflicting medical recommendations K Čyras, B Delaney, D Prociuk, F Toni, M Chapman, J Domínguez, ... CEUR Workshop Proceedings 2237, 2018 | 8 | 2018 |
| Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies A Espinosa-Gonzalez, D Prociuk, F Fiorentino, C Ramtale, E Mi, E Mi, ... The Lancet Digital Health 4 (9), e646-e656, 2022 | 6 | 2022 |
| An early warning risk prediction tool (RECAP-V1) for patients diagnosed with COVID-19: protocol for a statistical analysis plan F Fiorentino, D Prociuk, ABE Gonzalez, AL Neves, L Husain, SC Ramtale, ... JMIR research protocols 10 (10), e30083, 2021 | 5 | 2021 |
| Predicting risk of hospital admission in patients with suspected COVID-19 in a community setting: protocol for development and validation of a multivariate risk prediction tool … AB Espinosa-Gonzalez, AL Neves, F Fiorentino, D Prociuk, L Husain, ... | 3 | |
| Risk prediction algorithms and clinical judgment: Impact of advice distance, social proof, and feature-importance explanations B Pálfi, K Arora, D Prociuk, O Kostopoulou Computers in Human Behavior 153, 108102, 2024 | | 2024 |
| ROAD2H: Development and evaluation of an open‐source explainable artificial intelligence approach for managing co‐morbidity and clinical guidelines J Domínguez, D Prociuk, B Marović, K Čyras, O Cocarascu, F Ruiz, E Mi, ... Learning Health Systems 8 (2), e10391, 2024 | | 2024 |
| ROAD2H: an open-source, standards-based approach to explainable artificial intelligence for managing co-morbidity and computable guidelines using argumentation techniques. J Dominguez, D Prociuk, B Marovic, K Čyras, O Cocarascu, FJ Ruiz, E Mi, ... | | 2023 |
| Development and evaluation of an open-source, standards-based approach to explainable artificial intelligence for managing co-morbidity and clinical guidelines using … J Domínguez, D Prociuk, B Marović, K Čyras, O Cocarascu, F Ruiz, E Mi, ... medRxiv, 2022.12. 12.22283312, 2022 | | 2022 |
| Remote Covid Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies.(preprint) AB Espinosa-Gonzalez, D Prociuk, F Fiorentino, C Ramtale, E Mi, E Mi, ... | | 2021 |
| Argumentation for Explainable Reasoning with Conflicting Medical Recommendations D Prociuk, F Toni, M Chapman, J Domınguez, V Curcin | | |
