| Rapid and robust assembly and decoding of molecular tags with DNA-based nanopore signatures K Doroschak, K Zhang, M Queen, A Mandyam, K Strauss, L Ceze, ... Nature communications 11 (1), 5454, 2020 | 36 | 2020 |
| COP-E-CAT: cleaning and organization pipeline for EHR computational and analytic tasks A Mandyam, EC Yoo, J Soules, K Laudanski, BE Engelhardt Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 13 | 2021 |
| Guiding efficient, effective, and patient-oriented electrolyte replacement in critical care: an artificial intelligence reinforcement learning approach N Prasad, A Mandyam, C Chivers, M Draugelis, CW Hanson III, ... Journal of Personalized Medicine 12 (5), 661, 2022 | 3 | 2022 |
| Kernel Density Bayesian Inverse Reinforcement Learning A Mandyam, D Li, D Cai, A Jones, BE Engelhardt arXiv preprint arXiv:2303.06827, 2023 | 2* | 2023 |
| Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations A Mandyam, A Jones, J Yao, K Laudanski, BE Engelhardt Machine Learning for Health (ML4H), 323-339, 2023 | 1* | 2023 |
| Adaptive Interventions with User-Defined Goals for Health Behavior Change A Mandyam, M Joerke, BE Engelhardt, E Brunskill arXiv preprint arXiv:2311.09483, 2023 | | 2023 |
Jeff NivalaUniversity of WashingtonVerified email at uw.edu
