The mathematic model of lumbar spine osteochondrosis treatment decisions

Abstract

The results of formalization of the decision-making logics in a field of osteochondrosis treatment are presented. The symptoms of the disease, determining the need for various methods of therapy, are selected. The mathematical model of lumbar spine state is developed. It allows to classify (recognize) spine states requiring principally different treatments. Key descriptors determining the choice of a conservative or operative intervention have been identified. Solutions that can be fully and partially automated are identified.

Keywords

• mathematical model
• decision making support
• classification
• pattern recognition
• automated diagnostics
• ostеochondrosis
• degenerative-dystrophic diseases
• lumbar spine