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ORIGINAL RESEARCH article

Front. Pediatr.

Sec. Pediatric Critical Care

Volume 13 - 2025 | doi: 10.3389/fped.2025.1578612

This article is part of the Research TopicAdvancements and Challenges in Speech, Language, Swallowing, Orofacial and Hearing Disorders ResearchView all articles

Factors affecting feeding ability in children with neonatal intensive care unit stay: A cluster analysis using machine learning methods

Provisionally accepted
Kanglong  PengKanglong Peng*Jinwei  FengJinwei FengRuihao  LiRuihao LiXuan  FengXuan FengYi  HuangYi HuangJianguo  M M CaoJianguo M M Cao
  • Shenzhen Children's Hospital, Shenzhen, China

The final, formatted version of the article will be published soon.

Objectives: Oral feeding introduction is challenging in Neonates Intensive Care Unit (NICU) daily care with limited measuring methods. Our study aimed to depict the oral feeding related features in neonates with critical conditions who were administered to NICU and its major predictors.Study design: A total of 1419 neonates with critical conditions who were administered to NICU were enrolled. The related features were acquired by using the Preterm Infant Oral Feeding readiness assessment scale (PIOFRA). The Shapley Additive Explanation (SHAP) values were used in XGBoost models established based on selected features. In addition, the ANOVA analysis was adopted to depict the group differences.Results: Three profiles with distinct PIOFRA features were identified in cluster analysis (p>0.05).Compared to other prediction models (e.g. Logistic Regression, Random Forest), the XGBoost model achieved the highest accuracy (85.2%). Sucking power and rooting reflex were identified as the features with largest impact in oral feeding predations that exhibited positive and negative influence respectively.Conclusions: Oral feeding difficulty can be commonly observed in neonates in NICU, and more detailed assessments are needed to illustrate the difference in gestational features (e.g. born weight, gestational age) between difference profiles. PIOFRA features can be strong predictors in predicting whether neonates had achieved full oral feedings or not. However, more studies are needed to verify the detailed mechanism to illustrate how sucking and rooting reflex functions ensure the safe and efficient content transportation in neonates administered to NICU.

Keywords: Oral feeding, NICu, neonates, Cluster analysis, XGBoost, SHAP value

Received: 18 Feb 2025; Accepted: 17 Oct 2025.

Copyright: © 2025 Peng, Feng, Li, Feng, Huang and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Kanglong Peng, 18096723g@connect.polyu.hk

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