| In-silico prediction of synergistic anti-cancer drug combinations using multi-omics data R Celebi, O Bear Don’t Walk IV, R Movva, S Alpsoy, M Dumontier Scientific Reports 9 (1), 8949, 2019 | 76 | 2019 |
| Detecting social and behavioral determinants of health with structured and free-text clinical data DJ Feller, OJB Don't Walk, J Zucker, MT Yin, P Gordon, N Elhadad Applied clinical informatics 11 (01), 172-181, 2020 | 52 | 2020 |
| Predicting phenotypic polymyxin resistance in Klebsiella pneumoniae through machine learning analysis of genomic data N Macesic, OJ Bear Don’t Walk IV, I Pe’er, NP Tatonetti, AY Peleg, ... Msystems 5 (3), 10.1128/msystems. 00656-19, 2020 | 39 | 2020 |
| FasTag: Automatic text classification of unstructured medical narratives GR Venkataraman, AL Pineda, OJ Bear Don’t Walk IV, AM Zehnder, ... PLoS one 15 (6), e0234647, 2020 | 32 | 2020 |
| A scoping review of ethics considerations in clinical natural language processing OJ Bear Don’t Walk IV, H Reyes Nieva, SSJ Lee, N Elhadad JAMIA open 5 (2), ooac039, 2022 | 13 | 2022 |
| Clinically relevant pretraining is all you need OJ Bear Don’t Walk IV, T Sun, A Perotte, N Elhadad Journal of the American Medical Informatics Association 28 (9), 1970-1976, 2021 | 11 | 2021 |
| Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices DJ Feller, J Zucker, OB Don’t Walk, MT Yin, P Gordon, N Elhadad AMIA Annual Symposium Proceedings 2019, 399, 2019 | 11 | 2019 |
| Exploring gender disparities in time to diagnosis TY Sun, OJ Walk IV, JL Chen, HR Nieva, N Elhadad arXiv preprint arXiv:2011.06100, 2020 | 8 | 2020 |
| Bear Don’t Walk, Jason Zucker, Michael T Yin, Peter Gordon, Noémie Elhadad, et al DJ Feller, J Oliver Detecting social and behavioral determinants of health with structured and …, 2020 | 4 | 2020 |
| Advancements in extracting social determinants of health information from narrative text K Lybarger, OJ Bear Don’t Walk IV, M Yetisgen, Ö Uzuner Journal of the American Medical Informatics Association 30 (8), 1363-1366, 2023 | 3 | 2023 |
| Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text OJB Don’t Walk, A Pichon, HR Nieva, T Sun, J Altosaar, K Natarajan, ... AMIA Annual Symposium Proceedings 2023, 289, 2023 | | 2023 |
| Inferring Race and Ethnicity from Clinical Notes: Annotation, Model Auditing, and Ethical Implications OJB Don't Walk Columbia University, 2022 | | 2022 |
| The CLinically Explainable Actionable Risk (CLEAR) Model. R Chen, AJ Averitt, OB Don't Walk, S Bhave, LG Liu, EG Mitchell, ... AMIA, 2020 | | 2020 |
| Deep learning facilitates rapid classification of human and veterinary clinical narratives AL Pineda, OJ Bear Don’t Walk, GR Venkataraman, AM Zehnder, S Ayyar, ... | | 2018 |
| Deep Learning Facilitates Rapid Cohort Identification Using Human and Veterinary Clinical Narratives A Lopez Pineda, OJ Bear Don’t Walk, G Venkataraman, A Zehnder, ... Available at SSRN 3258686, 2018 | | 2018 |
| Identifying Clinical Notes with Likely Documentation of Social and Behavioral Determinants of Health. OB Don't Walk, J Zucker, P Gordon, N Elhadad, DJ Feller, B Srikishan, ... AMIA, 2018 | | 2018 |
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityBestätigte E-Mail-Adresse bei cumc.columbia.edu
