Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients

Autor: Lu, MingYu, Shahn, Zachary, Sow, Daby, Doshi-Velez, Finale, Lehman, Li-wei H.

The potential of Reinforcement Learning (RL) has been demonstrated through successful applications to games such as Go and Atari. However, while it is straightforward to evaluate the performance of an RL algorithm in a game setting by simply using it

Externí odkaz: http://arxiv.org/abs/2005.04301

Delaying initiation of diuretics in critically ill patients with recent vasopressor use and high positive fluid balance

Autor: Shahn, Zachary, Lehman, Li-Wei H., Mark, Roger G., Talmor, Daniel, Bose, Somnath

Publikováno v: In British Journal of Anaesthesia October 2021 127(4):569-576

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Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.

Autor: Lu M; MIT, Cambridge, MA., Shahn Z; IBM Research, Yorktown Heights, NY., Sow D; IBM Research, Yorktown Heights, NY., Doshi-Velez F; Harvard University, Cambridge, MA., Lehman LH; MIT, Cambridge, MA.

Publikováno v: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2021 Jan 25; Vol. 2020, pp. 773-782. Date of Electronic Publication: 2021 Jan 25 (Print Publication: 2020).