Biomechanical features of orthopedic patients
- by user1
- 05 March, 2022
Classifying patients based on six features
LicenseCC0: Public Domain
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).
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
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
Use these biomechanical features to classify patients according to their labels
Size: 24 KB Price: Free Author: UCI Machine Learning Data source: kaggle.com