Skip to main content

Table 3 Features selected in the XGboost model

From: Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost

 

OR_with_CI

P

(Intercept)

493.907 (9.063–27,931.087)

0.00247

Urineoutput

1 (1–1)

< 0.001

Lactate_min

1.401 (1.288–1.527)

< 0.001

Bun_mean

1.018 (1.013–1.023)

< 0.001

Sysbp_min

0.979 (0.974–0.984)

< 0.001

Metastatic_cancer

2.997 (2.217–4.038)

< 0.001

Inr_max

1.058 (1.002–1.115)

0.03709

Age

1.019 (1.013–1.025)

< 0.001

Sodium_max

1.016 (1.001–1.031)

0.03835

Aniongap_max

1.048 (1.026–1.069)

< 0.001

Creatinine_min

0.766 (0.686–0.852)

< 0.001

Spo2_mean

0.897 (0.865–0.93)

< 0.001

  1. OR odds ratio, CI confidence interval, bun blood urea nitrogen, sysbp systolic blood pressure, INR international normalized ratio, Spo2 oxyhemoglobin saturation, Max maximum, Min minimum
Back to article page

Journal of Translational Medicine

ISSN: 1479-5876

Contact us