| A reinforcement learning approach to weaning of mechanical ventilation in intensive care units N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt arXiv preprint arXiv:1704.06300, 2017 | 148 | 2017 |
| Scaling recurrent neural network language models W Williams, N Prasad, D Mrva, T Ash, T Robinson 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 75 | 2015 |
| An optimal policy for patient laboratory tests in intensive care units LF Cheng, N Prasad, BE Engelhardt BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 320-331, 2018 | 22 | 2018 |
| Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017 | 12 | 2017 |
| Methods for reinforcement learning in clinical decision support N Prasad Princeton University, 2020 | 5 | 2020 |
| Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning N Prasad, B Engelhardt, F Doshi-Velez Proceedings of the ACM Conference on Health, Inference, and Learning, 1-9, 2020 | 4* | 2020 |
| The Role of Context in the Prediction of Acute Hypotension in Critical Care N Prasad, K Palla SAIL: Symposium on Artificial Intelligence for Learning Health Systems 10, 2020, 2020 | 1 | 2020 |
| 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 | | 2022 |
| The importance of modeling patient state in reinforcement learning for precision medicine BE Engelhardt, N Prasad, LF Cheng, C Chivers, M Draugelis, K Li, ... | | 2021 |
| Adaptive Speaker Recognition NP CHR | | |
