Intelligent Approaches for the Diagnosis of Low Back Pain

The paper focus on low back pain as in this fourth-industrial-revolution ear everyone experiences the problem of low back pain in different level. The low back pain is the effect of some bad habituation and stress due to work pressure, which encompasses wide range of problems in our health. It is obvious that the diagnosis and treatment that cause this pain is difficult and costly especially for poor one. The aims of this paper are to analysis and evaluate low back pain for medical diagnosis in triangular fashion. At first, we model the backbone as a mechanical component to analyze the outcome of stress mathematically and then, a low back pain-management algorithm use to design our model, which acts as a recommender system for intelligent diagnosis. Finally, the outcome of recommender system is modeled using artificial neural network, which will make a smart system for the generation of diagnosis reports and risk factors.