Lower Back Pain Classification Using Machine Learning

Abstract

Most of old people usually suffer from a lower back pain. The main problem of this pain is the long recovery time. Some patients may be fully recovered from lower back pain for even years. Therefore, a preventive action is needed to be developed to prevent the lower back pain gets worsening. This paper presents a comparative study of lower back pain classification method using machine learning technique. The classification is performed using several algorithms. Moreover, a performance tuning using Grid Search method is also conducted. The results show that K-Nearest Neighbor algorithms provide the best classification accuracy as high as 87.2%. However, after tuning, the best classification accuracy as high as 86.7% obtained by using logistic regression classifier.