AIMC Topic: Infant

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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

PLoS computational biology Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
England Adolescent Child, Preschool Child Logistic Models Patient Admission Middle Aged Infant Comorbidity Severity of Illness Index Aged, 80 and over Young Adult Adult Male Machine Learning COVID-19 Retrospective Studies Intensive Care Units Female SARS-CoV-2 Risk Factors Aged Humans
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Deep learning for classification of pediatric chest radiographs by WHO's standardized methodology.

PloS one Jun 21, 2021
BACKGROUND: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of t...
Male Infant Deep Learning ROC Curve Observer Variation Models, Statistical Humans World Health Organization Female Pneumonia Radiography, Thoracic Reproducibility of Results Image Interpretation, Computer-Assisted Datasets as Topic
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Predicting malaria epidemics in Burkina Faso with machine learning.

PloS one Jun 18, 2021
Accurately forecasting the case rate of malaria would enable key decision makers to intervene months before the onset of any outbreak, potentially saving lives. Until now, methods that forecast malaria have involved complicated numerical simulations ...
Epidemics Male Infant Malaria Burkina Faso Machine Learning Algorithms Databases, Factual Female Humans
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Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in "double low" chest CTA in children: a feasibility study.

La Radiologia medica Jun 16, 2021
BACKGROUND: Chest CT angiography (CTA) is a convenient clinical examination for children with an increasing need to reduce both radiation and contrast medium doses. Iterative Reconstruction algorithms are often used to reduce image noise but encounte...
Case-Control Studies Deep Learning Adolescent Child, Preschool Prospective Studies Female Male Infant Computed Tomography Angiography Child Image Processing, Computer-Assisted Feasibility Studies Thorax Humans Algorithms
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Human breast milk-based nutritherapy: A blueprint for pediatric healthcare.

Journal of food and drug analysis Jun 15, 2021
Human Breast Milk (HBM) is a storehouse of micronutrients, macronutrients, immune factors, microbiota and numerous other bioactive macromolecules. Fulfilment of optimum nutritional requirements of more than 240 million malnourished infants worldwide ...
Child Humans Oligosaccharides Milk, Human Delivery of Health Care Micronutrients Female Nutritive Value Infant
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Deep Learning Assisted Neonatal Cry Classification Support Vector Machine Models.

Frontiers in public health Jun 10, 2021
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio sign...
Support Vector Machine Humans Algorithms Neural Networks, Computer Infant, Newborn Machine Learning Infant Deep Learning
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Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.

Brain and language Jun 7, 2021
Currently there are no reliable means of identifying infants at-risk for later language disorders. Infant neural responses to rhythmic stimuli may offer a solution, as neural tracking of rhythm is atypical in children with developmental language diso...
Humans Neural Networks, Computer Machine Learning Electroencephalography Infant Speech Child Support Vector Machine
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Radiology "forensics": determination of age and sex from chest radiographs using deep learning.

Emergency radiology Jun 5, 2021
PURPOSE: To develop and test the performance of deep convolutional neural networks (DCNNs) for automated classification of age and sex on chest radiographs (CXR).
Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer Child, Preschool Radiography Female Middle Aged Child Infant Aged Radiology Deep Learning Radiography, Thoracic Adolescent
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Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.

Computers in biology and medicine Jun 3, 2021
Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premature babies cared for in neonatal intensive care units (NICUs). Mortality risk prediction in this setting can greatly improve patient outcomes and reso...
Female Infant, Newborn Risk Factors Risk Assessment Humans Infant Neural Networks, Computer Birth Weight Pregnancy Gestational Age Intensive Care Units, Neonatal
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Pedestrian attribute recognition using two-branch trainable Gabor wavelets network.

PloS one Jun 1, 2021
Keeping an eye on pedestrians as they navigate through a scene, surveillance cameras are everywhere. With this context, our paper addresses the problem of pedestrian attribute recognition (PAR). This problem entails recognizing attributes such as age...
Humans Neural Networks, Computer Algorithms Female Young Adult Adult Male Infant Adolescent Image Processing, Computer-Assisted Child, Preschool Pedestrians Child Pattern Recognition, Automated
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