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
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
692012
Learning from heterogeneous temporal data in electronic health records
J Zhao, P Papapetrou, L Asker, H Boström
Journal of Biomedical Informatics, 2016
542016
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
382015
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
302014
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
242015
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
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
232013
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
212015
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), 69, 2016
172016
Temporal weighting of clinical events in electronic health records for pharmacovigilance
J Zhao
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
152015
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
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
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
112015
Learning temporal weights of clinical events using variable importance
J Zhao, A Henriksson
BMC medical informatics and decision making 16 (2), 71, 2016
102016
Learning predictive models from electronic health records
J Zhao
Department of Computer and Systems Sciences, Stockholm University, 2017
52017
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
Applying methods for signal detection in spontaneous reports to electronic patient records
J Zhao, I Karlsson, L Asker, H Boström
Proc. of the ACM KDD, 2013
52013
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
1*2015
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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