Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content

Table 3 Feature importance of multi-variate analysis

From: Predictive modeling of perioperative patient deterioration: combining unanticipated ICU admissions and mortality for improved risk prediction

Feature

Phase

Importance

Unanticipated ICU Admissions

     ASA score

Preoperative

0.031 (0.018)

     Surgery group (General)

Surgery

0.031 (0.017)

     Use of phenylephrine

Surgery

0.028 (0.014)

     Narcosis type (General + Epidural)

Surgery

0.019 (0.011)

     Duration in PACU

Recovery

0.014 (0.014)

     Minimum heart rate

Recovery

0.011 (0.009)

In-Hospital Mortality

     Elective surgery

Surgery

0.038 (0.020)

     ASA score

Preoperative

0.032 (0.022)

     Age

Preoperative

0.031 (0.026)

Combination

     ASA score

Preoperative

0.030 (0.016)

     Surgery group (General)

Surgery

0.019 (0.012)

     Age

Preoperative

0.017 (0.013)

     Narcosis (General + Epidural)

Surgery

0.017 (0.010)

     Use of phenylephrine

Surgery

0.016 (0.009)

     Duration in PACU

Recovery

0.011 (0.009)

  1. The importance column shows the average feature importance of all permutations over all cross-validation folds. The values between the () indicate the standard deviation
Back to article page

Perioperative Medicine

ISSN: 2047-0525