| An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients C Barbieri, M Molina, P Ponce, M Tothova, I Cattinelli, JI Titapiccolo, ... Kidney international 90 (2), 422-429, 2016 | 130 | 2016 |
| Optimal convection volume for improving patient outcomes in an international incident dialysis cohort treated with online hemodiafiltration B Canaud, C Barbieri, D Marcelli, F Bellocchio, S Bowry, F Mari, C Amato, ... Kidney international 88 (5), 1108-1116, 2015 | 129 | 2015 |
| Optimization of anemia treatment in hemodialysis patients via reinforcement learning P Escandell-Montero, M Chermisi, JM Martinez-Martinez, ... Artificial intelligence in medicine 62 (1), 47-60, 2014 | 99 | 2014 |
| A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis C Barbieri, F Mari, A Stopper, E Gatti, P Escandell-Montero, ... Computers in biology and medicine 61, 56-61, 2015 | 88 | 2015 |
| Development of an artificial intelligence model to guide the management of blood pressure, fluid volume, and dialysis dose in end-stage kidney disease patients: proof of … C Barbieri, I Cattinelli, L Neri, F Mari, R Ramos, D Brancaccio, B Canaud, ... Kidney Diseases 5 (1), 28-33, 2019 | 84 | 2019 |
| Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques JM Martínez-Martínez, P Escandell-Montero, C Barbieri, E Soria-Olivas, ... Computer methods and programs in biomedicine 117 (2), 208-217, 2014 | 52 | 2014 |
| Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients JI Titapiccolo, M Ferrario, S Cerutti, C Barbieri, F Mari, E Gatti, ... Expert Systems with Applications 40 (11), 4679-4686, 2013 | 37 | 2013 |
| A new data analysis system to quantify associations between biochemical parameters of chronic kidney disease-mineral bone disease M Rodriguez, MD Salmeron, A Martin-Malo, C Barbieri, F Mari, RI Molina, ... PloS one 11 (1), e0146801, 2016 | 32 | 2016 |
| Patients' characteristics affect the survival benefit of warfarin treatment for hemodialysis patients with atrial fibrillation. A historical cohort study D Brancaccio, L Neri, F Bellocchio, C Barbieri, C Amato, F Mari, B Canaud, ... American journal of nephrology 44 (4), 258-267, 2016 | 31 | 2016 |
| Performance of a predictive model for long-term hemoglobin response to darbepoetin and iron administration in a large cohort of hemodialysis patients C Barbieri, E Bolzoni, F Mari, I Cattinelli, F Bellocchio, JD Martin, C Amato, ... PLoS One 11 (3), e0148938, 2016 | 28 | 2016 |
| Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains I Cattinelli, E Bolzoni, C Barbieri, F Mari, JD Martin-Guerrero, ... Health care management science 15 (1), 79-90, 2012 | 28 | 2012 |
| Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients JDM Guerrero, D Marcelli, E Soria-Olivas, F Mari, JM Martínez-Martínez, ... Expert systems with applications 39 (10), 8793-8798, 2012 | 23 | 2012 |
| From electronic health records to clinical management systems: how the digital transformation can support healthcare services C Barbieri, L Neri, S Stuard, F Mari, JD Martín-Guerrero Clinical Kidney Journal 16 (11), 1878-1884, 2023 | 20 | 2023 |
| The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia? ML Bucalo, C Barbieri, S Roca, JI Titapiccolo, MSR Romero, R Ramos, ... Nefrología (English Edition) 38 (5), 491-502, 2018 | 20 | 2018 |
| Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks OJ Pellicer-Valero, I Cattinelli, L Neri, F Mari, JD Martín-Guerrero, ... Artificial Intelligence in Medicine 107, 101898, 2020 | 19 | 2020 |
| Atrial fibrillation in dialysis patients: Time to abandon warfarin? D Brancaccio, L Neri, F Bellocchio, C Barbieri, C Amato, F Mari, B Canaud, ... The International journal of artificial organs 39 (3), 99-105, 2016 | 12 | 2016 |
| Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics I Cattinelli, E Bolzoni, M Chermisi, F Bellocchio, C Barbieri, F Mari, ... Artificial intelligence in medicine 58 (3), 165-173, 2013 | 12 | 2013 |
| A supervised som approach to stratify cardiovascular risk in dialysis patients JI Titapiccolo, M Ferrario, S Cerutti, C Barbieri, F Mari, E Gatti, ... XIII Mediterranean Conference on Medical and Biological Engineering and …, 2014 | 8 | 2014 |
| Mining medical data to develop clinical decision making tools in hemodialysis JI Titapiccolo, M Ferrario, S Cerutti, MG Signorini, C Barbieri, F Mari, ... 2012 IEEE 12th International Conference on Data Mining Workshops, 99-106, 2012 | 8 | 2012 |
| El modelo de control de anemia:¿ ayuda al nefrólogo en la decisión terapéutica para el manejo de la anemia? ML Bucalo, C Barbieri, S Roca, JI Titapiccolo, MSR Romero, R Ramos, ... nefrologia 38 (5), 491-502, 2018 | 5 | 2018 |
