Explore our Solution on Biomechanical Analysis

OBJECTIVE:

Back pain affects most people sooner or later in their life, triggered by bad posture, bending awkwardly or lifting incorrectly. Most instances of back pain improve within a few weeks or months, but some people experience long-term repetitive pain.However biomechanical analysis is performed to classify orthopaedic patients into 3 classes (normal, disk hernia or spondylolisthesis) and aid patients with more proactive and preventative treatment options.

SOLUTION:

Simple Analytics collected all related data are from the client Dataset is containing values for six biomechanical features of orthopaedic patients and their class.

The technique we have used for the dataset is Random Forest because to know the variables by their order of importance. We have noticed that the variable “degree spondylolisthesis” is the most important one to explain the normal and abnormal of the patients.

Then we focused more on this variable starting with its density compared to the classification of the patients. We find that those with inferior spondylolisthesis the patients at certain value are those who are fortunate enough to have normal class, but it should be noted that it is normal that when the pelvic radius is superior or equal to a value.

RESULT:

In performing Biomechanical analysis, it is evident that people suffering from spine problems are primarily due to irregular spondylolisthesis and the secondary reason is pelvic-radius.

A CART model with 87% accuracy is built using a decision tree technique to classify people who are normal without any spinal problems and abnormal conditions and aids them with the preventive treatment techniques.

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