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Table 2 Features selected in the conventional logistic regression

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

 

OR_with_CI

p value

(Intercept)

52,913.003 (87.92–33,934,517.782)

< 0.001

Sofa

1.142 (1.106–1.179)

< 0.001

Aniongap_min

1.078 (1.043–1.115)

< 0.001

Creatinine_min

0.676 (0.592–0.767)

< 0.001

Chloride_min

0.98 (0.962–0.999)

0.03393

Hematocrit_min

1.113 (1.053–1.178)

< 0.001

Hemoglobin_min

0.748 (0.623–0.895)

0.00169

Hemoglobin_max

0.926 (0.863–0.992)

0.02993

Lactate_min

1.308 (1.194–1.435)

< 0.001

Potassium_min

1.179 (1.001–1.389)

0.04922

Sodium_max

1.046 (1.019–1.074)

< 0.001

Bun_min

1.033 (1.018–1.048)

< 0.001

Bun_max

0.986 (0.973–0.997)

0.01542

Wbc_min

1.062 (1.036–1.09)

< 0.001

Wbc_max

0.969 (0.952–0.987)

< 0.001

Heartrate_min

0.987 (0.977–0.997)

0.0111

Heartrate_mean

1.022 (1.011–1.033)

< 0.001

Sysbp_min

0.991 (0.984–0.998)

0.00839

Meanbp_min

0.992 (0.985–1)

0.0468

Resprate_mean

1.062 (1.038–1.086)

< 0.001

Tempc_min

0.897 (0.81–0.993)

0.03242

Tempc_max

0.781 (0.698–0.873)

< 0.001

Spo2_mean

0.947 (0.909–0.986)

0.00839

Age

1.029 (1.022–1.035)

< 0.001

Diabetes

0.779 (0.639–0.948)

0.01328

Vent

1.824 (1.48–2.251)

< 0.001

  1. OR odds ratio, CI confidence interval, SOFA sequential organ failure assessment, bun blood urea nitrogen, wbc white blood cell, sysbp systolic blood pressure, meanbp mean blood pressure, resprate respiratary rate, Spo2 oxyhemoglobin saturation, vent ventilation, Max maximum, Min minimum
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Journal of Translational Medicine

ISSN: 1479-5876

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