Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study.

ABSTRACT:

Background

Congenital heart disease accounts for almost a third of all major congenital anomalies. Congenital heart defects have a significant impact on morbidity, mortality and health costs for children and adults. Research regarding the risk of pre-surgical mortality is scarce.

Objectives

Our goal is to generate a predictive model calculator adapted to the regional reality focused on individual mortality prediction among patients with congenital heart disease undergoing cardiac surgery.

Methods

Two thousand two hundred forty CHD consecutive patients' data from InCor's heart surgery program was used to develop and validate the preoperative risk-of-death prediction model of congenital patients undergoing heart surgery. There were six artificial intelligence models mos

SUBMITTER: Chang Junior J 

PROVIDER: S-EPMC7473591 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature