Research Article

Early Prediction of Sepsis Based on Machine Learning Algorithm

Table 6

The meaning of the new feature variable.

FeaturesBased variablesDescriptions

CountAll vital signs data + all laboratory value dataThe count of the measurement times of all variables till the current moment
Inspection frequencyThe sum of the measurement times of all variables per unit time till the current moment
2h_diffSome vital signs variables1The difference between the current time and the value 2 hours ago
12h_maxSome laboratory value variables2Maximum value in a sliding time window spanning 12 hours
12h_minMinimum value in a sliding time window spanning 12 hours
12h_maxminRange in a sliding time window spanning 12 hours
24h_maxMaximum value in a sliding time window spanning 24 hours
24h_minMinimum value in a sliding time window spanning 24 hours
24h_maxminRange value in a sliding time window spanning 24 hours
HR/SBPHR,SBPShock index
SaO2/FiO2SaO2, FiO2Oxygenation index
qSOFAResp, SBPqSOFA score

1HR, MAP, O2Sat, Resp, and SBP. 2WBC, Temp, MAP, SBP, Creatinine, Platelets, FiO2, SaO2, PTT, BUN, Calcium, Phosphate, Hct, Lactate, AlkalinePhos, Glucose, and Hgb.