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Oleh: taufiq huda nursyaffah
A person’s orthopedic health condition can be detected from his biomechanical features. In this case, we use biomedical feature of orthopedic patients dataset an we’ll know the highest correlation features.
| Feature | Description |
| pelvic_incidence | = the sum of the angles of inclination of the pelvis |
| pelvic_tilt numeric | = upper hip tilt |
| lumbar_lordosis_angle | = lumbar angle of lordosis case |
| sacral_slope | = angle of between lumbar and pelvis |
| pelvic_radius | = hip distance with lumbar T12, L1-L5, S1 |
| degree_spondylolisthesis | = shift angle of lower lumbar with upper pelvis |
| class | = normal or abnormal categorical |
Read Data Table - Null Check - Describe
this table function to find the data scatter and comparing with class variable used for making analytical models.
We can look the highest value is 0.81 in correlation between sacral slope and pelvic incidence. Next, we will focus on 2 this variable to discover how far sacral slope are critical to pelvic incidence in the next case.
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