Biomechanical features of orthopedic patients

  • by user1
  • 05 March, 2022

Classifying patients based on six features

LicenseCC0: Public Domain

Tagshealth, health conditions

Context

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).

Content

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

Acknowledgements

The original dataset was downloaded from UCI ML repository:

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science

Files were converted to CSV

Inspiration

Use these biomechanical features to classify patients according to their labels

Size: 24 KB Price: Free Author: UCI Machine Learning Data source: kaggle.com

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