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Jing Zhao
Jing Zhao
Department of Computer and Systems Sciences (DSV), Stockholm University
Verified email at dsv.su.se
Title
Cited by
Cited by
Year
Learning from heterogeneous temporal data in electronic health records
J Zhao, P Papapetrou, L Asker, H Boström
Journal of Biomedical Informatics, 2016
862016
Multicriteria benefit–risk assessment using network meta-analysis
G van Valkenhoef, T Tervonen, J Zhao, B de Brock, HL Hillege, ...
Journal of clinical epidemiology 65 (4), 394-403, 2012
752012
Predictive modeling of structured electronic health records for adverse drug event detection
J Zhao, A Henriksson, L Asker, H Boström
BMC Medical Informatics and Decision Making 15 (Suppl 4), S1, 2015
622015
Detecting adverse drug events with multiple representations of clinical measurements
J Zhao, A Henriksson, L Asker, H Boström
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
352014
Predicting adverse drug events by analyzing electronic patient records
I Karlsson, J Zhao, L Asker, H Boström
Conference on Artificial Intelligence in Medicine in Europe, 125-129, 2013
342013
Ensembles of randomized trees using diverse distributed representations of clinical events
A Henriksson, J Zhao, H Dalianis, H Boström
BMC medical informatics and decision making 16 (2), 85-95, 2016
302016
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection
A Henriksson, J Zhao, H Boström, H Dalianis
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
292015
Handling temporality of clinical events for drug safety surveillance
J Zhao, A Henriksson, M Kvist, L Asker, H Boström
AMIA Annual Symposium Proceedings 2015, 1371, 2015
272015
Detecting adverse drug events using concept hierarchies of clinical codes
J Zhao, A Henriksson, H Boström
2014 IEEE International Conference on Healthcare Informatics, 285-293, 2014
232014
Temporal weighting of clinical events in electronic health records for pharmacovigilance
J Zhao
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
202015
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection
A Henriksson, J Zhao, H Boström, H Dalianis
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
182015
Learning temporal weights of clinical events using variable importance
J Zhao, A Henriksson
BMC medical informatics and decision making 16 (2), 111-121, 2016
172016
Goldeneye++: A closer look into the black box
A Henelius, K Puolamäki, I Karlsson, J Zhao, L Asker, H Boström, ...
International symposium on statistical learning and data sciences, 96-105, 2015
152015
Cascading adverse drug event detection in electronic health records
J Zhao, A Henriksson, H Boström
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
122015
Learning predictive models from electronic health records
J Zhao
Department of Computer and Systems Sciences, Stockholm University, 2017
72017
Applying methods for signal detection in spontaneous reports to electronic patient records
J Zhao, I Karlsson, L Asker, H Boström
Proceedings of the ACM KDD, 2013
62013
Mining candidates for adverse drug interactions in electronic patient records
L Asker, H Boström, I Karlsson, P Papapetrou, J Zhao
Proceedings of the 7th International Conference on PErvasive Technologies …, 2014
52014
Dimensionality reduction with random indexing: An application on adverse drug event detection using electronic health records
I Karlsson, J Zhao
2014 IEEE 27th International Symposium on Computer-Based Medical Systems …, 2014
32014
Predicting Adverse Drug Events with Confidence
T Löfström, J Zhao, H Linusson, K Jansson
Thirteenth Scandinavian Conference on Artificial Intelligence: SCAI 2015 278 …, 2015
22015
Learning from heterogeneous temporal data in electronic health records (vol 65, pg 105, 2017)
J Zhao, P Papapetrou, L Asker, H Bostrom
JOURNAL OF BIOMEDICAL INFORMATICS 101, 2020
2020
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