| Cadec: A corpus of adverse drug event annotations S Karimi, A Metke-Jimenez, M Kemp, C Wang Journal of biomedical informatics 55, 73-81, 2015 | 226 | 2015 |
| Text and data mining techniques in adverse drug reaction detection S Karimi, C Wang, A Metke-Jimenez, R Gaire, C Paris ACM Computing Surveys (CSUR) 47 (4), 56, 2015 | 138 | 2015 |
| GA4GH: International policies and standards for data sharing across genomic research and healthcare HL Rehm, AJH Page, L Smith, JB Adams, G Alterovitz, LJ Babb, ... Cell Genomics 1 (2), 100029, 2021 | 68 | 2021 |
| Towards achieving semantic interoperability of clinical study data with FHIR H Leroux, A Metke-Jimenez, MJ Lawley Journal of biomedical semantics 8 (1), 1-14, 2017 | 53 | 2017 |
| Ontoserver: a syndicated terminology server A Metke-Jimenez, J Steel, D Hansen, M Lawley Journal of biomedical semantics 9, 1-10, 2018 | 41 | 2018 |
| Concept extraction to identify adverse drug reactions in medical forums: A comparison of algorithms A Metke-Jimenez, S Karimi arXiv preprint arXiv:1504.06936, 2015 | 29 | 2015 |
| Snorocket 2.0: Concrete Domains and Concurrent Classification. A Metke-Jimenez, M Lawley ORE 1015, 32-38, 2013 | 28 | 2013 |
| Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums. A Metke-Jimenez, S Karimi BMDID@ ISWC, 2016 | 19 | 2016 |
| The GA4GH Phenopacket schema defines a computable representation of clinical data JOB Jacobsen, M Baudis, GS Baynam, JS Beckmann, S Beltran, ... Nature biotechnology 40 (6), 817-820, 2022 | 18 | 2022 |
| Evaluation of text-processing algorithms for adverse drug event extraction from social media A Metke-Jimenez, S Karimi, C Paris Proceedings of the first international workshop on social media retrieval …, 2014 | 18 | 2014 |
| Reanalysis of genomic data: an overview of the mechanisms and complexities of clinical adoption AJ Robertson, NB Tan, AB Spurdle, A Metke-Jimenez, C Sullivan, ... Genetics in Medicine, 2022 | 17 | 2022 |
| Interoperable medical data: the missing link for understanding COVID‐19 DC Bauer, A Metke‐Jimenez, S Maurer‐Stroh, S Tiruvayipati, LOW Wilson, ... Transboundary and emerging diseases 68 (4), 1753-1760, 2021 | 17 | 2021 |
| Change propagation in the MDA: A model merging approach AM Jimenez MS Thesis. University of Queesland, 2005 | 17 | 2005 |
| FHIRCap: Transforming REDCap forms into FHIR resources A Metke-Jimenez, D Hansen AMIA Summits on Translational Science Proceedings 2019, 54, 2019 | 14 | 2019 |
| ODM on FHIR: Towards Achieving Semantic Interoperability of Clinical Study Data. H Leroux, A Metke, MJ Lawley SWAT4LS, 59-68, 2015 | 14 | 2015 |
| CADEminer: a system for mining consumer reports on adverse drug side effects S Karimi, A Metke-Jimenez, A Nguyen Proceedings of the eighth workshop on exploiting semantic annotations in …, 2015 | 11 | 2015 |
| The GA4GH Phenopacket schema: A computable representation of clinical data for precision medicine JOB Jacobsen, M Baudis, GS Baynam, JS Beckmann, S Beltran, ... medRxiv, 2021.11. 27.21266944, 2021 | 10 | 2021 |
| Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU O Fitzgerald, O Perez-Concha, B Gallego, MK Saxena, L Rudd, ... Journal of the American Medical Informatics Association 28 (8), 1642-1650, 2021 | 8 | 2021 |
| Design of a model-generated repository as a service for USDL K Duddy, M Henderson, A Metke-Jimenez, J Steel Proceedings of the 12th International Conference on Information Integration …, 2010 | 7 | 2010 |
| Information extraction from web services: a comparison of Tokenisation algorithms A Metke Jimenez, K Raymond, I MacColl Proceedings of the 2nd International Workshop on Software Knowledge 2011, in …, 2011 | 6 | 2011 |
Sarvnaz KarimiCSIROVerified email at csiro.au
