Comparative analysis of Machine Learning approaches for early stage Cervical Spondylosis detection

Comparative analysis of Machine Learning approaches for early stage Cervical Spondylosis detection

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Cervical Spondylosis (CS) is a chronic spinal condition in which the spine gradually stiffens and can finally become completely inflexible.It is arduous to diagnose in early stages and leads to delay in medication.The risk level of Cervical Spondylosis can be reduced if it Reflectors is detected in primary care.

Based on this Sport Backpack objective, a system is designed and developed to diagnose and predict the severity of cervical spondylosis in early stages.Different machine learning techniques are evaluated for this and results indicate that machine learning techniques can provide a low cost and accurate mechanism for early stage spondylosis detection.