A Perspective Survey On Spinal Tuberculosis Disease Prediction Using Machine Learning

T.B. is one of the most prevalent diseases in the world. T.B. affects the spinal cord of human beings. The World Health Organization (WHO) has been working to prevent the disease's spread since 2015. Once T.B. is diagnosed, care is taken to eliminate the disease with proper treatment and care. In the medical field, there are a lot of methods available for diagnosing T.B. However, detecting spinal T.B. in the early stages is very difficult using existing algorithms. This review focuses on the risk factors for spinal T.B., essential symptoms, image-assisted diagnoses.