| Clinical knowledge extraction via sparse embedding regression KESER with multi-center large scale electronic health record data C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ... npj Digital Medicine 4 (1), 1-11, 2021 | 33 | 2021 |
| Multiview incomplete knowledge graph integration with application to cross-institutional ehr data harmonization D Zhou, Z Gan, X Shi, A Patwari, E Rush, CL Bonzel, VA Panickan, ... Journal of Biomedical Informatics 133, 104147, 2022 | 15 | 2022 |
| Multimodal representation learning for predicting molecule–disease relations J Wen, X Zhang, E Rush, VA Panickan, X Li, T Cai, D Zhou, YL Ho, ... Bioinformatics 39 (2), btad085, 2023 | 7 | 2023 |
| Standardized architecture for a mega-biobank phenomic library: the million veteran program (MVP) KE Knight, J Honerlaw, I Danciu, F Linares, YL Ho, DR Gagnon, E Rush, ... AMIA Summits on Translational Science Proceedings 2020, 326, 2020 | 7 | 2020 |
| Towards adaptive parallel storage systems E Tomes, EN Rush, N Altiparmak IEEE Transactions on Computers 67 (12), 1840-1848, 2018 | 7 | 2018 |
| Dynamic data layout optimization for high performance parallel i/o EN Rush, B Harris, N Altiparmak, AŞ Tosun 2016 IEEE 23rd International Conference on High Performance Computing (HiPC …, 2016 | 4 | 2016 |
| Evaluating text analytic frameworks for mental health surveillance B Mayer, J Arnold, E Begoli, E Rush, M Drewry, K Brown, E Ponce, ... 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 3 | 2018 |
| HPC infrastructure to support the next-generation ARM facility data operations G Prakash, J Kumar, E Rush, R Records, A Clodfelter, J Voyles 2016 IEEE International Conference on Big Data (Big Data), 4026-4028, 2016 | 3 | 2016 |
| Exploiting replication for energy efficiency of heterogeneous storage systems EN Rush, N Altiparmak 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016 | 3 | 2016 |
| Arch: Large-scale knowledge graph via aggregated narrative codified health records analysis Z Gan, D Zhou, E Rush, VA Panickan, YL Ho, G Ostrouchov, Z Xu, S Shen, ... medRxiv, 2023 | 2 | 2023 |
| JSONize: A scalable machine learning pipeline to model medical notes as semi-structured documents EN Rush, I Danciu, G Ostrouchov, K Cho, BW Mayer, YL Ho, J Honerlaw, ... AMIA Summits on Translational Science Proceedings 2020, 533, 2020 | 2 | 2020 |
| Next-gen tools for big scientific data: ARM data center example R Devarakonda, K Dumas, S Beus, E Rush, B Krishna, R Records, ... 2016 IEEE International Conference on Big Data (Big Data), 3968-3970, 2016 | 2 | 2016 |
| A framework for inferring and analyzing pharmacotherapy treatment patterns E Rush, O Ozmen, M Kim, ER Ortegon, M Jones, BH Park, S Pizer, ... BMC Medical Informatics and Decision Making 24 (1), 68, 2024 | 1 | 2024 |
| CPViz: Visualizing clinical pathways represented in higher-order networks J Chae, BH Park, M Kim, E Rush, O Ozmen, M Jones, M Ward, ... Electronic Imaging 35, 1-8, 2023 | | 2023 |
| Knowledge-Driven Online Multimodal Automated Phenotyping System. M Liu, S Morini, X Xiong, C Hong, CL Bonzel, VA Panickan, EN Rush, ... AMIA, 2022 | | 2022 |
| Characterizing Sub-Cohorts via Data Normalization and Representation Learning E Rush, O Ozmen, K Knight, B Park, C Baker, M Jones, M Ward, ... 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | | 2020 |
| Data-Driven Inference of Clinical Pathway Components for Identifying Basic Care Patterns from Electronic Health Records M Kim, BH Park, O Ozmen, E Rush, J Chae, MM Jones, RW Rupper, ... | | |
Nihat AltiparmakAssociate Professor, Computer Science and Engineering, University of LouisvilleVerified email at louisville.edu
