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View Data Set

Name:

Description:

The data have been organized in two different but related classification tasks.

  • column3Cweka.csv (file with three class labels)

    • The first task consists in classifying patients as belonging to one out of three categories: Normal (100 patients), Disk Hernia (60 patients) or Spondylolisthesis (150 patients).

  • column2Cweka.csv (file with two class labels)

    • For the second task, the categories Disk Hernia and Spondylolisthesis were merged into a single category labelled as 'abnormal'. Thus, the second task consists in classifying patients as belonging to one out of two categories: Normal (100 patients) or Abnormal (210 patients).

Variables:

Field Descriptions:

Each patient is represented in the data set by six biomechanical attributes derived from the shape and orientation of the pelvis and lumbar spine (each one is a column):

  • pelvic incidence

  • pelvic tilt

  • lumbar lordosis angle

  • sacral slope

  • pelvic radius

  • grade of spondylolisthesis

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Acknowledgments

Many thanks to GetOldTweets for providing an excellent scraper.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Biomechanical_features_of_orthopedic_patients_1612_19.csv")
d <- read.csv("https://www.key2stats.com/Biomechanical_features_of_orthopedic_patients_1612_40.csv")

R Coding Interface:


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