| A manifesto on explainability for artificial intelligence in medicine C Combi, B Amico, R Bellazzi, A Holzinger, JH Moore, M Zitnik, ... Artificial Intelligence in Medicine 133, 102423, 2022 | 82 | 2022 |
| Latent class trajectory modeling of 2‐component Disease Activity Score in 28 joints identifies multiple rheumatoid arthritis phenotypes of response to biologic disease … A Dagliati, D Plant, N Nair, M Jani, B Amico, N Peek, AW Morgan, J Isaacs, ... Arthritis & Rheumatology 72 (10), 1632-1642, 2020 | 12 | 2020 |
| A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies B Amico, C Combi Artificial Intelligence in Medicine: 20th International Conference on …, 2022 | 6 | 2022 |
| Discovering predictive trend-event patterns in temporal clinical data M Mantovani, B Amico, C Combi Proceedings of the 36th Annual ACM Symposium on Applied Computing, 570-579, 2021 | 5 | 2021 |
| A Dashboard for latent class trajectory modeling: application in rheumatoid arthritis B Amico, A Dagliati, D Plant, A Barton, N Peek, N Geifman MEDINFO 2019: Health and Wellbeing e-Networks for All, 911-915, 2019 | 4 | 2019 |
| Latent class trajectory modelling of 2‐components‐DAS28 identifies multiple rheumatoid arthritis phenotypes of response to biologic disease modifying anti‐rheumatic drugs A Dagliati, D Plant, N Nair, M Jani, B Amico, N Peek, AW Morgan, J Isaacs, ... Arthritis & Rheumatology, 2020 | 3 | 2020 |
| Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies B Amico, C Combi International Conference on Artificial Intelligence in Medicine, 341-346, 2023 | | 2023 |
| Data Mining in Medicine B Amico, C Combi, Y Shahar Machine Learning for Data Science Handbook: Data Mining and Knowledge …, 2023 | | 2023 |
| Discovering Predictive Dependencies on Multi-Temporal Relations B Amico, C Combi, R Rizzi, P Sala 30th International Symposium on Temporal Representation and Reasoning (TIME …, 2023 | | 2023 |
| Explainable temporal data mining techniques to support the prediction task in Medicine B Amico | | 2023 |
| A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines IA Chiorean, B Amico, C Combi, JH Holmes 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
| Latent class trajectory modelling of 2-components-DAS28 identifies multiple rheumatoid arthritis phenotypes of response to biologic disease modifying anti-rheumatic drugs. B Amico, AW Morgan | | |
