| Machine learning methods to predict diabetes complications A Dagliati, S Marini, L Sacchi, G Cogni, M Teliti, V Tibollo, P De Cata, ... Journal of diabetes science and technology 12 (2), 295-302, 2018 | 172 | 2018 |
| Integrated multi-omics analyses in oncology: a review of machine learning methods and tools G Nicora, F Vitali, A Dagliati, N Geifman, R Bellazzi Frontiers in oncology 10, 1030, 2020 | 74 | 2020 |
| A dashboard-based system for supporting diabetes care A Dagliati, L Sacchi, V Tibollo, G Cogni, M Teliti, A Martinez-Millana, ... Journal of the American Medical Informatics Association 25 (5), 538-547, 2018 | 50 | 2018 |
| Temporal electronic phenotyping by mining careflows of breast cancer patients A Dagliati, L Sacchi, A Zambelli, V Tibollo, L Pavesi, JH Holmes, ... Journal of biomedical informatics 66, 136-147, 2017 | 50 | 2017 |
| An ICT infrastructure to integrate clinical and molecular data in oncology research D Segagni, V Tibollo, A Dagliati, A Zambelli, SG Priori, R Bellazzi BMC bioinformatics 13 (4), 1-8, 2012 | 35 | 2012 |
| Incorporating repeating temporal association rules in naïve bayes classifiers for coronary heart disease diagnosis K Orphanou, A Dagliati, L Sacchi, A Stassopoulou, E Keravnou, ... Journal of biomedical informatics 81, 74-82, 2018 | 30 | 2018 |
| Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients A Dagliati, L Sacchi, C Cerra, P Leporati, P De Cata, L Chiovato, ... IEEE-EMBS international conference on biomedical and health informatics (BHI …, 2014 | 30 | 2014 |
| Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview A Dagliati, A Malovini, V Tibollo, R Bellazzi Briefings in bioinformatics 22 (2), 812-822, 2021 | 29 | 2021 |
| The ONCO-I2b2 project: integrating biobank information and clinical data to support translational research in oncology D Segagni, V Tibollo, A Dagliati, L Perinati, A Zambelli, S Priori, R Bellazzi User Centred Networked Health Care, 887-891, 2011 | 29 | 2011 |
| Big data technologies: new opportunities for diabetes management R Bellazzi, A Dagliati, L Sacchi, D Segagni Journal of diabetes science and technology 9 (5), 1119-1125, 2015 | 27 | 2015 |
| Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients M Teliti, G Cogni, L Sacchi, A Dagliati, S Marini, V Tibollo, P De Cata, ... Diabetes and Vascular Disease Research 15 (5), 424-432, 2018 | 26 | 2018 |
| Analyzing complex patients’ temporal histories: new frontiers in temporal data mining L Sacchi, A Dagliati, R Bellazzi Data Mining in Clinical Medicine, 89-105, 2015 | 25 | 2015 |
| pMineR: an innovative R library for performing process mining in medicine R Gatta, J Lenkowicz, M Vallati, E Rojas, A Damiani, L Sacchi, BD Bari, ... Conference on artificial intelligence in medicine in europe, 351-355, 2017 | 24 | 2017 |
| Big data as a driver for clinical decision support systems: a learning health systems perspective A Dagliati, V Tibollo, L Sacchi, A Malovini, I Limongelli, M Gabetta, ... Frontiers in Digital Humanities 5, 8, 2018 | 23 | 2018 |
| Integration of administrative, clinical, and environmental data to support the management of type 2 diabetes mellitus: from satellites to clinical care A Dagliati, A Marinoni, C Cerra, P Decata, L Chiovato, P Gamba, ... Journal of diabetes science and technology 10 (1), 19-26, 2016 | 22 | 2016 |
| A data gathering framework to collect type 2 diabetes patients data A Dagliati, L Sacchi, M Bucalo, D Segagni, K Zarkogianni, AM Millana, ... IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014 | 17 | 2014 |
| Generating and comparing knowledge graphs of medical processes using pMineR R Gatta, M Vallati, J Lenkowicz, E Rojas, A Damiani, L Sacchi, B De Bari, ... Proceedings of the Knowledge Capture Conference, 1-4, 2017 | 16 | 2017 |
| Combining naive bayes classifiers with temporal association rules for coronary heart disease diagnosis K Orphanou, A Dagliati, L Sacchi, A Stassopoulou, E Keravnou, ... 2016 IEEE International Conference on Healthcare Informatics (ICHI), 81-92, 2016 | 16 | 2016 |
| The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination KA McGurk, A Dagliati, D Chiasserini, D Lee, D Plant, I Baricevic-Jones, ... Bioinformatics 36 (7), 2217-2223, 2020 | 14 | 2020 |
| Improving risk-stratification of diabetes complications using temporal data mining L Sacchi, A Dagliati, D Segagni, P Leporati, L Chiovato, R Bellazzi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 14 | 2015 |
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of PaviaEmail verificata su unipv.it
