Federated learning of predictive models from federated electronic health records TS Brisimi, R Chen, T Mela, A Olshevsky, IC Paschalidis, W Shi International journal of medical informatics 112, 59-67, 2018 | 843 | 2018 |
Prediction of hospitalization due to heart diseases by supervised learning methods W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis International journal of medical informatics 84 (3), 189-197, 2015 | 180 | 2015 |
Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis Proceedings of the IEEE 106 (4), 690-707, 2018 | 98 | 2018 |
Sensing and classifying roadway obstacles in smart cities: The street bump system TS Brisimi, CG Cassandras, C Osgood, IC Paschalidis, Y Zhang IEEE Access 4, 1301-1312, 2016 | 86 | 2016 |
Predicting diabetes-related hospitalizations based on electronic health records TS Brisimi, T Xu, T Wang, W Dai, IC Paschalidis Statistical methods in medical research 28 (12), 3667-3682, 2019 | 31 | 2019 |
Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US PD Zervopoulos, TS Brisimi, A Emrouznejad, G Cheng European Journal of Operational Research 250 (1), 262-272, 2016 | 21 | 2016 |
Distribution-dependent robust linear optimization with applications to inventory control SC Kang, TS Brisimi, IC Paschalidis Annals of operations research 231 (1), 229-263, 2015 | 17 | 2015 |
Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system TS Brisimi, S Ariafar, Y Zhang, CG Cassandras, IC Paschalidis 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 14 | 2015 |
A joint sparse clustering and classification approach with applications to hospitalization prediction T Xu, TS Brisimi, T Wang, W Dai, IC Paschalidis 2016 IEEE 55th conference on decision and control (CDC), 4566-4571, 2016 | 12 | 2016 |
Extracting structured information from unstructured data using domain problem application validation T Brisimi, S Kotoulas, VL Garcia, RHO Valentina, N Mulligan US Patent 11,194,784, 2021 | 6 | 2021 |
Benefit graph extraction from healthcare policies V Lopez, V Rho, TS Brisimi, F Cucci, M Kristiansen, J Segrave-Daly, ... | 4 | 2019 |
Intelligent learning and application of operational rules VL Garcia, F Cucci, T Brisimi, A Kishimoto, R Marinescu US Patent 11,966,928, 2024 | 3 | 2024 |
Intelligent ranking of sections of clinical practical guidelines JH Bettencourt-silva, N Mulligan, ML Sbodio, T Brisimi US Patent 11,694,815, 2023 | 3 | 2023 |
Intelligent recommendation of convenient event opportunities JH Bettencourt-silva, T Brisimi, ML Sbodio, N Mulligan US Patent 11,443,215, 2022 | 3 | 2022 |
Land use planning recommendations using heterogeneous temporal datasets T Brisimi, M Stephenson, ML Sbodio US Patent 11,966,993, 2024 | 2 | 2024 |
Intelligent policy covery gap discovery and policy coverage optimization T Brisimi, VL Garcia, RHO Valentina, J Segrave-Daly US Patent 11,443,384, 2022 | 1 | 2022 |
Automatic generation of logically consistent application code change groups P Tommasi, RHO Valentina, T Brisimi, M Stephenson US Patent 11,340,895, 2022 | 1 | 2022 |
Privacy-preserving distributed support vector machines S Bottoni, S Braghin, T Brisimi, A Trombetta Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2021 | 1 | 2021 |
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection TS Brisimi, V Lopez, V Rho, M Sbodio, G Picco, M Kristiansen, ... Digital Personalized Health and Medicine, 879-883, 2020 | 1 | 2020 |
Summary of Best Papers Selected for the 2019 IMIA Yearbook, Section Clinical Research Informatics TS Brisimi, R Chen, T Mela, A Olshevsky, IC Paschalidis, W Shi Int J Med Inform 112, 59-67, 2018 | 1 | 2018 |