Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 19 min ago
Peer-reviewedCC BY-NCMedicine

Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants : A prospective cohort study

  • Yu Hong1
  • Zeng Xiqiu1
  • Tan Yufei1
  • Li Yin2
  • Long Zhuo2
  • Shen Liangrong2
  1. 1Department of Neonatology, Shenzhen Children’s Hospital, Shenzhen, China
  2. 2The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China.
Read full textPDFCite

Related

  1. Risk factors for plastic bronchitis complicating severe Mycoplasma pneumoniae pneumonia in children and development of a machine learning-based predictive model
    Translational pediatricsPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. Development and internal validation of a predictive model for clinical deterioration in newly diagnosed lung cancer patients based on interpretable machine learning.
    Huiling Li, Yin Li, Xiaomin Huang +3
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Development and validation of predictive models for the hemodialysis adequacy index (Kt/V) using multiple linear regression and machine learning algorithms
    Le-le Li, Rui-feng Xu, Liang-liang Huang +11
    Frontiers in Digital HealthPeer-reviewedCC BY 4.0Full textGeneral medicinePMCEurope PMC
  4. COMPREHENSIVE LIPIDOMIC PROFILING COMBINED WITH MACHINE LEARNING REVEALS BASELINE SIGNATURES PREDICTIVE OF FIRST LEG ULCER DEVELOPMENT IN SICKLE CELL DISEASE
    Felipe Custódio Carvalho DOS SANTOS, Álex Aparecido Rosini SILVA, Marcos Eduardo Souza ABREU +12
    Hematology, Transfusion and Cell TherapyPeer-reviewedCC BYFull textHuman geneticsDOAJ
  5. Development and validation of a machine learning-based prediction model for emergence agitation in geriatric patients undergoing orthopedic surgery: a prospective cohort study.
    Ping Wang, Jinxuan Zhao, Jinhui Huang +4
    Frontiers in medicinePeer-reviewedCC BYFull textSurgery & anaesthesiaEurope PMCPMC

Cite

BibTeXRIS
BibTeX
@article{hong2026development,
  title = {{Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants : A prospective cohort study}},
  author = {Yu Hong and Zeng Xiqiu and Tan Yufei and Li Yin and Long Zhuo and Shen Liangrong},
  journal = {Medicine},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13657534},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants : A prospective cohort study
AU  - Yu Hong
AU  - Zeng Xiqiu
AU  - Tan Yufei
AU  - Li Yin
AU  - Long Zhuo
AU  - Shen Liangrong
PY  - 2026
DA  - 2026/10/09
JO  - Medicine
UR  - https://europepmc.org/article/PMC/PMC13657534
SN  - 0304-5412
SN  - 1536-5964
ER  -