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Denys Prociuk
Denys Prociuk
Research Associate, Imperial College London
Verificeret mail på imperial.ac.uk
Titel
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År
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
102021
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
92018
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
82022
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
52021
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, ...
4
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
32024
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
22024
Physical, cognitive, and social triggers of symptom fluctuations in people living with long COVID: an intensive longitudinal cohort study
DC Greenwood, M Mansoubi, ND Bakerly, A Bhatia, J Collett, HE Davies, ...
The Lancet Regional Health–Europe 46, 2024
12024
Risk Prediction Algorithms and Clinical Judgment: Impact of Advice Distance, Social Proof, and Feature-Importance Explanations
B Palfi, K Arora, D Prociuk, O Kostopoulou
Social Proof, and Feature-Importance Explanations, 2023
12023
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
12022
Understanding the clinical characteristics and timeliness of diagnosis for patients diagnosed with Long COVID: A retrospective observational cohort study from North West London
D Prociuk, J Clarke, N Smith, R Milne, C Lee, S de Lusignan, G Mir, ...
medRxiv, 2024.08. 30.24312849, 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
Argumentation for Explainable Reasoning with Conflicting Medical Recommendations
D Prociuk, F Toni, M Chapman, J Domınguez, V Curcin
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Artikler 1–13