| Mental health among head and neck surgeons in Brazil during the COVID-19 pandemic: a national study AM Civantos, A Bertelli, A Gonçalves, E Getzen, C Chang, Q Long, ... American journal of otolaryngology 41 (6), 102694, 2020 | 81 | 2020 |
| Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... EClinicalMedicine 55, 2023 | 48 | 2023 |
| Mining for equitable health: Assessing the impact of missing data in electronic health records E Getzen, L Ungar, D Mowery, X Jiang, Q Long Journal of biomedical informatics 139, 104269, 2023 | 47 | 2023 |
| Hospitalizations associated with mental health conditions among adolescents in the US and France during the COVID-19 pandemic A Gutiérrez-Sacristán, A Serret-Larmande, MR Hutch, C Sáez, BJ Aronow, ... JAMA Network Open 5 (12), e2246548-e2246548, 2022 | 19 | 2022 |
| Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium F Sperotto, A Gutiérrez-Sacristán, S Makwana, X Li, VN Rofeberg, T Cai, ... EClinicalMedicine 64, 2023 | 12 | 2023 |
| Mining for health: A comparison of word embedding methods for analysis of ehrs data E Getzen, Y Ruan, L Ungar, Q Long Statistics in Precision Health: Theory, Methods and Applications, 313-338, 2024 | 9 | 2024 |
| Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? ALM Tan, EJ Getzen, MR Hutch, ZH Strasser, A Gutiérrez-Sacristán, TT Le, ... Journal of biomedical informatics 139, 104306, 2023 | 8 | 2023 |
| Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through … B Moal, A Orieux, T Ferté, A Neuraz, GA Brat, P Avillach, CL Bonzel, T Cai, ... Plos one 18 (1), e0266985, 2023 | 6 | 2023 |
| On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization J Xiao, Z Li, X Xie, E Getzen, C Fang, Q Long, WJ Su arXiv preprint arXiv:2405.16455, 2024 | 4 | 2024 |
| Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study A Dagliati, ZH Strasser, ZSH Abad, JG Klann, KB Wagholikar, R Mesa, ... Eclinicalmedicine 64, 2023 | 4 | 2023 |
| Validation of biomechanical computed tomography for fracture risk classification in metastatic hormone-sensitive prostate cancer JK Lin, CM Hearn, E Getzen, Q Long, DC Lee, TM Keaveny, ... European urology oncology 7 (4), 794-803, 2024 | 2 | 2024 |
| DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Y Wu, M Keoliya, K Chen, N Velingker, Z Li, EJ Getzen, Q Long, M Naik, ... arXiv preprint arXiv:2406.00611, 2024 | 1 | 2024 |
| SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data Z Dai, E Getzen, Q Long International Conference on Artificial Intelligence and Statistics, 4195-4203, 2024 | 1 | 2024 |
| Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions C Li, DL Mowery, X Ma, R Yang, U Vurgun, S Hwang, HK Donnelly, ... medRxiv, 2024 | 1 | 2024 |
| Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative T Bergquist, J Loomba, E Pfaff, F Xia, Z Zhao, Y Zhu, E Mitchell, ... EBioMedicine 108, 2024 | | 2024 |
| Filling the gaps: leveraging large language models for temporal harmonization of clinical text across multiple medical visits for clinical prediction I Choi, Q Long, E Getzen medRxiv, 2024 | | 2024 |
| Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions MJ Becich, C Li, DL Mowery, X Ma, R Yang, HK Donnelly, S Hwang, ... | | 2024 |
| Mining for Health: Advancing trustworthy statistical and machine learning methods for complex electronic health records data E Getzen University of Pennsylvania, 2024 | | 2024 |
| External validation of biomechanical computed tomography for fracture risk classification in metastatic hormone sensitive prostate cancer. JK Lin, C Hearn, E Getzen, Q Long, H Drell, D Lee, TM Keaveny, ... Journal of Clinical Oncology 41 (16_suppl), e24077-e24077, 2023 | | 2023 |
| Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the … E Getzen, ALM Tan, G Brat, GS Omenn, Z Strasser, Q Long, JH Holmes, ... AMIA Annual Symposium Proceedings 2023, 942, 2023 | | 2023 |
