Table 2:

Comparison between this work and similar literature works according to Endpoints, number of subjects, used features, look back period, look forward period, machine learning models used, and best area under receiver operating characteristics curve (AUROC).

EndRef. point	Number of Patients	Signals or Features	Look back period	Look forward period	ML model	Best testing AROC
Shock [41] onset	600	HR, MAP, RR, Temp.	8 hrs	4 hrs	LR, SVM, MLP	0.88
Shock [25] onset	91,445 UCSF 21,507 MIMIC-3	HR, RR, SAP, DAP, SpO2, Temp.	2 hrs	24 hrs 48 hrs	XGB	0.84 0.83
Shock [27] onset	100 MIMIC-3	SAP, DAP, MAP, PAT, Pulse pressure.	45 mins	15 mins	LR, SVM, Tree, Ensemble Tree	0.93
Shock [26] onset	270,438 Training 13,581 Testing	SAP, DAP, HR, RR, SpO2, age, Temp.	2 hrs	0 hrs 4 hrs 6 hrs 12 hrs 24 hrs 48 hrs	XGB	0.92 0.87 0.86 0.85 0.85 0.82
This Shock workonset	239 Emory	MAP, PAT, HRV, HR.	5 mins	6 hrs 12 hrs 18 hrs 24 hrs 30 hrs 36 hrs	LR, XGB, SVM, MLP, RF, KNN	0.84 0.83 0.83 0.82 0.81 0.80