Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.

ABSTRACT:

Objective

This study aimed to enhance the accuracy of prognosis assessment for reduction mammaplasty by improving a swarm intelligence optimization algorithm and to develop an intelligent prediction system to support clinical decision-making.

Methods

This study enrolled 224 patients who underwent reduction mammaplasty at Xijing Hospital between January 14, 2018, and February 4, 2023, and 137 patients who underwent the same procedure at Plastic Surgery Hospital between January 14, 2018, and May 1, 2020, constituting the training set. Ninety-two patients who underwent reduction mammaplasty at Plastic Surgery Hospital between May 2, 2020, and February 4, 2023, were defined as the test set. Data collection encompassed preoperative anatomical parameters, intraoperative procedural

SUBMITTER: Cui Z 

PROVIDER: S-EPMC12460295 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature