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Clinical decision support on eICU dataset

Data access

  • We are using the eICU database v2.0. This database requires credential access. Sign up here

Some important data Links:

Data extraction

  • Features for mortality prediction and length of stay prediction are replicated according to this work
  • Different from the authors, we are operating on eICU database v2.0

Extraction

  • Run extract-features.ipynb with eICU credentials to download rawdata.csv file
  • Summary of features and tables where the feature was extracted from are as follows:
Feature Table location Data type
Heart rate apacheapsvar Numerical
Mean arterial pressure formula Numerical
Diastolic blood pressure vitalperiodic Numerical
Systolic blood pressure vitalperiodic Numerical
O2 lab Numerical
Respiratory rate apacheapsvar Numerical
Temperature apacheapsvar Numerical
Glucose apacheapsvar Numerical
FiO2 apacheapsvar Numerical
pH apacheapsvar Numerical
Height patient Numerical
Weight patient Numerical
Age patient Numerical
Admission diagnosis patient Categorical
Ethnicity patient Categorical
Gender patient Categorical
Glasgow Coma Score Total formula Numerical
Glasgow Coma Score Eyes apacheapsvar Numerical
Glasgow Coma Score Motor apacheapsvar Numerical
Glasgow Coma Score Verbal apacheapsvar Numerical

Formula used in the table

               mean arterial pressure = SBP + 2(DBP) /3
               GCS total = GCS sum of eyes, motor, verbal

About

The aim of the project is to predict the mortality, disease progression and remaining length of stay in the ICU based on patients' admission EHR data. This will give hospitals advanced notice on the needs of their patients, and help physicians make safer decisions for their high-risk patients.

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