| Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records J Xu, F Wang, Z Xu, P Adekkanattu, P Brandt, G Jiang, RC Kiefer, Y Luo, ... Learning Health Systems, e10246, 2020 | 31 | 2020 |
| Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language PS Brandt, RC Kiefer, JA Pacheco, P Adekkanattu, ET Sholle, FS Ahmad, ... Learning Health Systems, e10233, 2020 | 25 | 2020 |
| Subphenotyping depression using machine learning and electronic health records Z Xu, F Wang, P Adekkanattu, B Bose, V Vekaria, P Brandt, G Jiang, ... Learning Health Systems, e10241, 2020 | 20 | 2020 |
| Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study P Adekkanattu, G Jiang, Y Luo, PR Kingsbury, Z Xu, LV Rasmussen, ... AMIA Annual Symposium Proceedings 2019 (2019), 1559-4076, 2020 | 19 | 2020 |
| Considerations for improving the portability of electronic health record-based phenotype algorithms LV Rasmussen, PS Brandt, G Jiang, RC Kiefer, JA Pacheco, ... AMIA Annual Symposium Proceedings 2019, 755, 2019 | 18 | 2019 |
| CQL4NLP: development and integration of FHIR NLP extensions in clinical quality language for EHR-driven phenotyping A Wen, LV Rasmussen, D Stone, S Liu, R Kiefer, P Adekkanattu, ... AMIA Summits on Translational Science Proceedings 2021, 624, 2021 | 13 | 2021 |
| A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization Y Yan, T Schaffter, T Bergquist, T Yu, J Prosser, Z Aydin, A Jabeer, ... JAMA Network Open 4 (10), e2124946-e2124946, 2021 | 12 | 2021 |
| Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study P Adekkanattu, LV Rasmussen, JA Pacheco, J Kabariti, DJ Stone, Y Yu, ... Scientific reports 13 (1), 294, 2023 | 11 | 2023 |
| An investigation of classification algorithms for predicting HIV drug resistance without genotype resistance testing P Brandt, D Moodley, AW Pillay, CJ Seebregts, T de Oliveira Foundations of Health Information Engineering and Systems: Third …, 2014 | 11 | 2014 |
| Characterizing variability of electronic health record-driven phenotype definitions PS Brandt, A Kho, Y Luo, JA Pacheco, TL Walunas, H Hakonarson, ... Journal of the American Medical Informatics Association 30 (3), 427-437, 2023 | 10 | 2023 |
| Heart on FHIR: integrating patient generated data into clinical care to reduce 30 day heart failure readmissions T Bergquist, RW Buie, K Li, P Brandt AMIA Annual Symposium Proceedings 2017, 2269, 2017 | 10 | 2017 |
| StayHome: a FHIR-native mobile COVID-19 symptom tracker and public health reporting tool HA Burkhardt, PS Brandt, JR Lee, SW Karras, PF Bugni, I Cvitkovic, ... Online Journal of Public Health Informatics 13 (1), 2021 | 8 | 2021 |
| Design and validation of a FHIR-based EHR-driven phenotyping toolbox PS Brandt, JA Pacheco, P Adekkanattu, ET Sholle, S Abedian, DJ Stone, ... Journal of the American Medical Informatics Association 29 (9), 1449-1460, 2022 | 7 | 2022 |
| Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records J Xu, F Wang, C Zang, H Zhang, K Niotis, AL Liberman, CM Stonnington, ... Scientific reports 13 (1), 8102, 2023 | 6 | 2023 |
| Development of a repository of computable phenotype definitions using the clinical quality language PS Brandt, JA Pacheco, LV Rasmussen JAMIA open 4 (4), ooab094, 2021 | 6 | 2021 |
| Using machine learning to predict antidepressant treatment outcome from electronic health records Z Xu, V Vekaria, F Wang, J Cukor, C Su, P Adekkanattu, P Brandt, G Jiang, ... Psychiatric Research and Clinical Practice 5 (4), 118-125, 2023 | 5 | 2023 |
| EHR-driven Phenotyping: Improving Standards & Methods for Secondary Use of EHR Data PS Brandt University of Washington Libraries, 2021 | 1 | 2021 |
| Prometheus: Differential Privacy in the OMOP CDM T Bergquist, P Brandt University of Washington, 2018 | 1 | 2018 |
| An investigation of multi-label classification techniques for predicting HIV drug resistance in resource-limited settings. P Brandt University of Kwa-Zulu Natal, 2014 | 1 | 2014 |
| Characterizing Variability of EHR-Driven Phenotype Definitions PS Brandt, A Kho, Y Luo, JA Pacheco, TL Walunas, H Hakonarson, ... medRxiv, 2022.07. 10.22277390, 2022 | | 2022 |
Luke V. RasmussenSenior Clinical Research Associate, Northwestern UniversityVerified email at northwestern.edu
