Female sexual dysfunction after breast cancer surgery prediction with AI

ABSTRACT:

Introduction

Female sexual dysfunction (FSD) can be overlooked. Different types of breast cancer surgery could have a different impact on the sexuality of women. Artificial intelligence (AI) could help to determine the relation between those conditions.

Objectives

To investigate whether AI could predict FSD relying primarily on the time elapsed after treatment and the type of breast cancer surgery.

Methods

Data of age, time elapsed after treatment and type of surgery (breast-conserving therapy and mastectomy) were employed to predict FSD status in 128 subjects using an AI. Women with and without steady relations were included in the analysis. FSD prevalence was 27.3%. The AI was conservatively tuned to maximize the positive likelihood ratio considering predicted

SUBMITTER: Mereu A 

PROVIDER: S-EPMC9480285 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature