Department of Pediatric Surgery, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea.
Department of Artificial Intelligence, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea.
Sci Rep. 2022 Jul 15;12(1):12112. doi: 10.1038/s41598-022-16273-5.
Intestinal perforation (IP) in preterm infants is a life-threatening condition that may result in serious complications and increased mortality. Early Prediction of IP in infants is important, but challenging due to its multifactorial and complex nature of the disease. Thus, there are no reliable tools to predict IP in infants. In this study, we developed new machine learning (ML) models for predicting IP in very low birth weight (VLBW) infants and compared their performance to that of classic ML methods. We developed artificial neural networks (ANNs) using VLBW infant data from a nationwide cohort and prospective web-based registry. The new ANN models, which outperformed all other classic ML methods, showed an area under the receiver operating characteristic curve (AUROC) of 0.8832 for predicting IP associated with necrotizing enterocolitis (NEC-IP) and 0.8797 for spontaneous IP (SIP). We tested these algorithms using patient data from our institution, which were not included in the training dataset, and obtained an AUROC of 1.0000 for NEC-IP and 0.9364 for SIP. NEC-IP and SIP in VLBW infants can be predicted at an excellent performance level with these newly developed ML models. https://github.com/kdhRick2222/Early-Prediction-of-Intestinal-Perforation-in-Preterm-Infants .
早产儿肠穿孔（IP）是一种危及生命的疾病，可能导致严重的并发症和死亡率增加。早期预测早产儿 IP 很重要，但由于其多因素和疾病的复杂性，这是一项具有挑战性的任务。因此，目前还没有可靠的工具可以预测早产儿 IP。在这项研究中，我们为极低出生体重（VLBW）婴儿开发了新的机器学习（ML）模型来预测 IP，并将其性能与经典 ML 方法进行了比较。我们使用来自全国性队列和前瞻性基于网络的注册研究的 VLBW 婴儿数据开发了人工神经网络（ANN）。新的 ANN 模型在预测与坏死性小肠结肠炎（NEC-IP）相关的 IP 和自发性 IP（SIP）方面的表现优于所有其他经典 ML 方法，其接收者操作特征曲线（AUROC）下面积分别为 0.8832 和 0.8797。我们使用来自我们机构的患者数据对这些算法进行了测试，这些数据未包含在训练数据集中，NEC-IP 的 AUROC 为 1.0000，SIP 的 AUROC 为 0.9364。使用这些新开发的 ML 模型，可以以优异的性能水平预测 VLBW 婴儿的 NEC-IP 和 SIP。https://github.com/kdhRick2222/Early-Prediction-of-Intestinal-Perforation-in-Preterm-Infants 。
