Ju, S., Kim, Y. J., Ausin, M. S., Mayorga, M. E., and Chi, M. To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. Retrieved from https://par.nsf.gov/biblio/10341411. In Proceedings of the IEEE International Conference on Big Data 2021 (BigData 2021) . Web. doi:10.1109/BigData52589.2021.9671407.

Ju, S., Kim, Y. J., Ausin, M. S., Mayorga, M. E., & Chi, M. To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. In Proceedings of the IEEE International Conference on Big Data 2021 (BigData 2021), (). Retrieved from https://par.nsf.gov/biblio/10341411. https://doi.org/10.1109/BigData52589.2021.9671407

Ju, S., Kim, Y. J., Ausin, M. S., Mayorga, M. E., and Chi, M. "To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning". In Proceedings of the IEEE International Conference on Big Data 2021 (BigData 2021) (). Country unknown/Code not available. https://doi.org/10.1109/BigData52589.2021.9671407. https://par.nsf.gov/biblio/10341411.

@article{osti_10341411,
place = {Country unknown/Code not available}, title = {To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning}, url = {https://par.nsf.gov/biblio/10341411}, DOI = {10.1109/BigData52589.2021.9671407}, abstractNote = {}, journal = {In Proceedings of the IEEE International Conference on Big Data 2021 (BigData 2021)}, author = {Ju, S. and Kim, Y. J. and Ausin, M. S. and Mayorga, M. E. and Chi, M.}, }