Theodora S. Brisimi
Theodora S. Brisimi
Research Scientist at IBM
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Benefit graph extraction from healthcare policies
V Lopez, V Rho, TS Brisimi, F Cucci, M Kristiansen, J Segrave-Daly, ...
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
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
Automatic generation of logically consistent application code change groups
P Tommasi, RHO Valentina, T Brisimi, M Stephenson
US Patent 11,340,895, 2022
Intelligent learning for explaining anomalies
JH Bettencourt-silva, VL Garcia, RHO Valentina, T Brisimi
US Patent 11,176,491, 2021
Intelligent policy covery gap discovery and policy coverage optimization
T Brisimi, VL Garcia, RHO Valentina, J Segrave-Daly
US Patent App. 16/840,802, 2021
Privacy-Preserving Distributed Support Vector Machines
S Bottoni, S Braghin, T Brisimi, A Trombetta
Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 85-102, 2021
Land use planning recommendations using heterogeneous temporal datasets
T Brisimi, M Stephenson, ML Sbodio
US Patent App. 16/660,484, 2021
Providing clinical practical guidelines
JH Bettencourt-silva, ML Sbodio, N Mulligan, T Brisimi
US Patent App. 16/660,502, 2021
Intelligent ranking of sections of clinical practical guidelines
JH Bettencourt-silva, N Mulligan, ML Sbodio, T Brisimi
US Patent App. 16/660,474, 2021
Intelligent learning and application of operational rules
VL Garcia, F Cucci, T Brisimi, A Kishimoto, R Marinescu
US Patent App. 16/406,856, 2020
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