AIMC Topic: Infant, Newborn, Diseases
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Reassessing acquired neonatal intestinal diseases using unsupervised machine learning.
Pediatric research
Feb 27, 2024
BACKGROUND: Acquired neonatal intestinal diseases have an array of overlapping presentations and are often labeled under the dichotomous classification of necrotizing enterocolitis (which is poorly defined) or spontaneous intestinal perforation, hind...
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical image analysis
Aug 9, 2017
It is challenging to characterize and classify normal and abnormal brain development during early childhood. To reduce the complexity of heterogeneous data population, manifold learning techniques are increasingly applied, which find a low-dimensiona...
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.
Computers in biology and medicine
Jun 10, 2015
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures and 1h EEG and ECG recordings 24h after birth were obtained from 38 newborns with different grades of...
Machine learning-based diagnostic model for neonatal intestinal diseases in multiple centres: a cross-sectional study protocol.
BMJ open
May 14, 2025
BACKGROUND: Neonatal intestinal diseases often have an insidious onset and can lead to poor outcomes if not identified early. Early assessment of abnormal bowel function is critical for timely intervention and improving prognosis, underscoring the cl...
Cardiac Function in Newborns with Congenital Hypothyroidism: Association with Thyroid-Stimulating Hormone Levels.
Journal of clinical research in pediatric endocrinology
Dec 1, 2015
OBJECTIVE: The aims of this study were to demonstrate ventricular function changes in patients with congenital hypothyroidism and to investigate whether there is an association between any such changes and thyroid-stimulating hormone (TSH) levels usi...
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