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KEEL-dataset - data set description

This section describes main characteristics of the post-operative data set and its attributes:

General information

Post-Operative data set
TypeClassificationOriginReal world
Features 8(Real / Integer / Nominal)(0 / 0 / 8)
Classes 3 Missing values? Yes
Total instances 90 Instances without missing values 87

Attribute description

L-CORE{mid, high, low}
L-SURF{low, high, mid}
L-O2{excellent, good}
L-BP{mid, high, low}
SURF-STBL{stable, unstable}
CORE-STBL{stable, unstable, mod-stable}
BP-STBL{stable, mod-stable, unstable}
COMFORT{15, 10, 05, 07}
Decision{A, S, I}

Additional information

The classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is a significant concern after surgery, the attributes correspond roughly to body temperature measurements.

The class label can take one of the following values: I (patient sent to Intensive Care Unit), S (patient prepared to go home), A (patient sent to general hospital floor).

Attributes description:

1. L-CORE (patient's internal temperature in C): high (> 37), mid (>= 36 and <= 37), low (< 36)
2. L-SURF (patient's surface temperature in C): high (> 36.5), mid (>= 36.5 and <= 35), low (< 35)
3. L-O2 (oxygen saturation in %): excellent (>= 98), good (>= 90 and < 98), fair (>= 80 and < 90), poor (< 80)
4. L-BP (last measurement of blood pressure): high (> 130/90), mid (<= 130/90 and >= 90/70), low (< 90/70)
5. SURF-STBL (stability of patient's surface temperature): stable, mod-stable, unstable
6. CORE-STBL (stability of patient's core temperature): stable, mod-stable, unstable
7. BP-STBL (stability of patient's blood pressure): stable, mod-stable, unstable
8. COMFORT (patient's perceived comfort at discharge)

In this section you can download some files related to the post-operative data set:

  • The complete data set already formatted in KEEL formatcan be downloaded from herezip.gif.

  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.

  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.

  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning repository. The original page where the data set can be found is:

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