IJAIEM

Gudla Sai Krishna,Peddi Sion Raj , Kadam Sainandana Rao ,M.Ramesh

Abstract

slot5599.comKyphosis, characterized by the inward arching of the upper back, is often colloquially referred to as "roundback" or "hunchback" when a noticeable curvature is present. This condition typically arises due to weakened spinal bones, leading to compression or fractures. In children or adolescents, other forms of kyphosis may be attributed to spinal abnormalities or a progressive twisting of the spinal bones. While kyphosis can manifest at any age, it is most prevalent in teenagers. Multiple factors, ranging from poor posture and developmental issues to structural abnormalities in the spine, can contribute to its occurrence. This research introduces a machine learning approach aimed at predicting kyphosis disease, with a focus on enhancing early detection and improving patient outcomes. This research intends to incorporate different machine- learning approaches to biological data, such as Decision Trees and Random Forests, evaluate and