| Evaluation of sepsis prediction models before onset of treatment F Kamran, D Tjandra, A Heiler, J Virzi, K Singh, JE King, TS Valley, ... Nejm Ai 1 (3), AIoa2300032, 2024 | 59 | 2024 |
| Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers D Goyal, D Tjandra, RQ Migrino, B Giordani, Z Syed, J Wiens, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 10, 629-637, 2018 | 58 | 2018 |
| Cohort discovery and risk stratification for Alzheimer's disease: an electronic health record‐based approach D Tjandra, RQ Migrino, B Giordani, J Wiens Alzheimer's & Dementia: Translational Research & Clinical Interventions 6 (1 …, 2020 | 32 | 2020 |
| A hierarchical approach to multi-event survival analysis D Tjandra, Y He, J Wiens Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 591-599, 2021 | 20 | 2021 |
| When to remember where you came from: node representation learning in higher-order networks C Belth, F Kamran, D Tjandra, D Koutra Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 14 | 2019 |
| Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer's disease: a retrospective cohort study at two medical centers D Tjandra, RQ Migrino, B Giordani, J Wiens Alzheimer's & Dementia 18 (11), 2368-2372, 2022 | 13 | 2022 |
| Yeast two-hybrid analysis for ubiquitin variant inhibitors of human deubiquitinases N Pascoe, A Seetharaman, J Teyra, N Manczyk, MA Satori, D Tjandra, ... Journal of Molecular Biology 431 (6), 1160-1171, 2019 | 8 | 2019 |
| Leveraging an alignment set in tackling instance-dependent label noise D Tjandra, J Wiens Conference on Health, Inference, and Learning, 477-497, 2023 | 4 | 2023 |
| Predicting 5‐year dementia conversion in veterans with mild cognitive impairment C Irwin, D Tjandra, C Hu, V Aggarwal, A Lienau, B Giordani, J Wiens, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 16 (1 …, 2024 | 2 | 2024 |
| P4‐554: An Ehr‐Based Cohort Discovery Tool For Identifying Probable Ad D Tjandra, R Migrino, B Giordani, J Wiens Elsevier BV, 2019 | 2 | 2019 |
| Estimated Effects of Comorbidities on Risk of All-cause Dementia in Patients with Mild Cognitive Impairment D Tjandra, C Irwin, RQ Migrino, B Giordani, J Wiens Sage Open Aging 11, 30495334251347053, 2025 | | 2025 |
| Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis F Kamran, D Tjandra, TS Valley, HC Prescott, NH Shah, VX Liu, E Horvitz, ... Journal of the American Medical Informatics Association 32 (5), 905-913, 2025 | | 2025 |
| Survival Analysis with Multiple Noisy Labels D Tjandra, J Wiens 2024 IEEE International Conference on Data Mining (ICDM), 863-868, 2024 | | 2024 |
| Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels D Tjandra | | 2024 |
| P4‐555: Ehr‐Based Patient Risk Stratification Tool For Probable Ad D Tjandra, R Migrino, B Giordani, J Wiens Elsevier BV, 2019 | | 2019 |
