Theodora S. Brisimi
Theodora S. Brisimi
Research Scientist at IBM
Verified email at bu.edu
Title
Cited by
Cited by
Year
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
1592018
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
962015
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
542016
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
382018
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
162015
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
152019
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
132016
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
112015
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
82016
Benefit graph extraction from healthcare policies
V Lopez, V Rho, TS Brisimi, F Cucci, M Kristiansen, J Segrave-Daly, ...
12019
Automatic generation of logically consistent application code change groups
P Tommasi, RHO Valentina, T Brisimi, M Stephenson
US Patent App. 16/541,778, 2021
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
2020
Semi-automated correction of policy rules
T Brisimi, R Marinescu, A Kishimoto, VL Garcia
US Patent App. 16/194,621, 2020
2020
Intelligent recommendation of convenient event opportunities
JH Bettencourt-silva, T Brisimi, ML Sbodio, N Mulligan
US Patent App. 16/180,699, 2020
2020
EXTRACTING STRUCTURED INFORMATION FROM UNSTRUCTURED DATA USING DOMAIN PROBLEM APPLICATION VALIDATION
T Brisimi, S Kotoulas, V Lopez Garcia, V Rho, N Mulligan
US Patent App. 16/165,620, 2020
2020
Intelligent learning for explaining anomalies
JH Bettencourt-silva, VL Garcia, RHO Valentina, T Brisimi
US Patent App. 16/158,030, 2020
2020
Ontology-guided Policy Information Extraction for Healthcare Fraud Detection
TS Brisimi, V Lopez, V Rho, M Sbodio, G Picco, M Kristiansen, ...
2019
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
2018
Centralized and distributed learning methods for predictive health analytics
TS Brisimi
Boston University, 2017
2017
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