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70 lines
2.6 KiB
Plaintext
Executable File
70 lines
2.6 KiB
Plaintext
Executable File
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1. Title: Postoperative Patient Data
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2. Source Information:
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-- Creators: Sharon Summers, School of Nursing, University of Kansas
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Medical Center, Kansas City, KS 66160
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Linda Woolery, School of Nursing, University of Missouri,
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Columbia, MO 65211
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-- Donor: Jerzy W. Grzymala-Busse (jerzy@cs.ukans.edu) (913)864-4488
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-- Date: June 1993
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3. Past Usage:
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1. A. Budihardjo, J. Grzymala-Busse, L. Woolery (1991). Program LERS_LB 2.5
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as a tool for knowledge acquisition in nursing, Proceedings of the 4th
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Int. Conference on Industrial & Engineering Applications of AI & Expert
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Systems, pp. 735-740.
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2. L. Woolery, J. Grzymala-Busse, S. Summers, A. Budihardjo (1991). The use
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of machine learning program LERS_LB 2.5 in knowledge acquisition for
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expert system development in nursing. Computers in Nursing 9, pp. 227-234.
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4. Relevant Information:
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The classification task of this database is to determine where
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patients in a postoperative recovery area should be sent to next.
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Because hypothermia is a significant concern after surgery
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(Woolery, L. et. al. 1991), the attributes correspond roughly to body
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temperature measurements.
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Results:
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-- LERS (LEM2): 48% accuracy
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5. Number of Instances: 90
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6. Number of Attributes: 9 including the decision (class attribute)
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7. Attribute Information:
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1. L-CORE (patient's internal temperature in C):
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high (> 37), mid (>= 36 and <= 37), low (< 36)
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2. L-SURF (patient's surface temperature in C):
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high (> 36.5), mid (>= 36.5 and <= 35), low (< 35)
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3. L-O2 (oxygen saturation in %):
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excellent (>= 98), good (>= 90 and < 98),
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fair (>= 80 and < 90), poor (< 80)
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4. L-BP (last measurement of blood pressure):
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high (> 130/90), mid (<= 130/90 and >= 90/70), low (< 90/70)
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5. SURF-STBL (stability of patient's surface temperature):
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stable, mod-stable, unstable
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6. CORE-STBL (stability of patient's core temperature)
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stable, mod-stable, unstable
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7. BP-STBL (stability of patient's blood pressure)
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stable, mod-stable, unstable
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8. COMFORT (patient's perceived comfort at discharge, measured as
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an integer between 0 and 20)
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9. decision ADM-DECS (discharge decision):
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I (patient sent to Intensive Care Unit),
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S (patient prepared to go home),
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A (patient sent to general hospital floor)
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8. Missing Attribute Values:
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Attribute 8 has 3 missing values
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9. Class Distribution:
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I (2)
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S (24)
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A (64)
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