Table 1.

Prior research on models to predict intervention efficacy among critically ill patients

Title	Reference	Year	Method
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care	Komorowski et al.17	2018	Reinforcement Learning
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Neural Networks with Clinical Interpretability	Girkar et al.23	2019	RNN (with attention)
Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database	Wu et al.22	2017	Switching-state Autoregressive Model
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning	Peng et al.24	2018	Deep/Kernel Reinforcement Learning