Identification of women with high grade histopathology results after conisation by artificial neural networks

Abstract

The aim of the study was to evaluate if artificial neural networks can predict high-grade histopathology results after conisation from risk factors and their combinations in patients undergoing conisation because of pathological changes on uterine cervix.

Keywords

• uterine cervical dysplasia
• uterine cervical cancer
• conisation
• artificial neural networks