Biomechanical Features Of Orthopedic Patients

Context

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

• column_3C_weka.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).

• column_2C_weka.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