Post-Operative Patient

About

Dataset of patient features 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 (Woolery, L. et. al. 1991), the attributes correspond roughly to body temperature measurements. Results: -- LERS (LEM2): 48% accuracy

Subject Area

Health and Medicine

Instances

Features

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Data Types

Multivariate

Tasks

Classification

Feature Types

Categorical, Integer

Features

Name	Role	Type	Units	Missing Values
L-CORE	Feature	Categorical	C	No
└ patient's internal temperature
L-SURF	Feature	Categorical	C	No
└ patient's surface temperature
L-O2	Feature	Categorical	%	No
└ oxygen saturation
L-BP	Feature	Categorical	-	No
└ last measurement of blood pressure
SURF-STBL	Feature	Categorical	-	No
└ stability of patient's surface temperature
CORE-STBL	Feature	Categorical	-	No
└ stability of patient's core temperature
BP-STBL	Feature	Categorical	-	No
└ stability of patient's blood pressure
COMFORT	Feature	Integer	-	Yes
└ patient's perceived comfort at discharge, measured between 0 and 20
ADM-DECS	Target	Categorical	-	No
└ discharge decision: I (patient sent to Intensive Care Unit), S (patient prepared to go home), A (patient sent to general hospital floor)

Introductory Paper

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Additional Metadata

Keywords

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Authors

Sharon Summers

Linda Woolery

Year Created

1991

DOI

10.24432/C5DG6Q

License

CC BY 4.0

Post-Operative Patient

About

Features

Introductory Paper

Additional Metadata

Authors

Donation Information