Caesarian Section Classification Dataset

Donated on 11/1/2018

This dataset contains information about caesarian section results of 80 pregnant women with the most important characteristics of delivery problems in the medical field.

Dataset Characteristics

Tabular

Subject Area

Health and Medicine

Associated Tasks

Classification

Feature Type

Integer

# Instances

80

# Features

-

Dataset Information

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no

0 to 5 of 5

Additional Variable Information

We choose age, delivery number, delivery time, blood pressure and heart status. We classify delivery time to Premature, Timely and Latecomer. As like the delivery time we consider blood pressure in three statuses of Low, Normal and High moods. Heart Problem is classified as apt and inept. @attribute 'Age' { 22,26,28,27,32,36,33,23,20,29,25,37,24,18,30,40,31,19,21,35,17,38 } @attribute 'Delivery number' { 1,2,3,4 } @attribute 'Delivery time' { 0,1,2 } -> {0 = timely , 1 = premature , 2 = latecomer} @attribute 'Blood of Pressure' { 2,1,0 } -> {0 = low , 1 = normal , 2 = high } @attribute 'Heart Problem' { 1,0 } -> {0 = apt, 1 = inept } @attribute Caesarian { 0,1 } -> {0 = No, 1 = Yes }

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Creators

Muhammad Amin

Amir Ali

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