Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Exploiting Phosphate-Starved cells of sp. for the Treatment of Raw Sewage.

Phosphate depletion is one of the favorable ways to enhance the sewage water treatment with the alga...

Oct 2016 28611503
Hydrogen water reduces NSE, IL-6, and TNF-α levels in hypoxic-ischemic encephalopathy.

This study retrospectively analyzed the efficacy of hydrogen water in the treatment of neonatal hypo...

Oct 2016 28352827
Machine-learned pattern identification in olfactory subtest results.

The human sense of smell is often analyzed as being composed of three main components comprising olf...

Oct 2016 27762302
Consistent quantitative gene product expression: #2. Antigen intensities on bone marrow cells are invariant between individuals.

Five reference populations in bone marrow specimens were identified by flow cytometry using specific...

Oct 2016 27754578
Consistent quantitative gene product expression: #3. Invariance with age.

The quantitative expression of cell surface antigens and light scattering properties of five cellula...

Oct 2016 27754615
Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?

BACKGROUND: KINARM end point robotic testing on a range of tasks evaluating sensory, motor and cogni...

Oct 2016 27729040
The digital generation and nursing robotics: A netnographic study about nursing care robots posted on social media.

The aim of this study was to present the functionality and design of nursing care robots as depicted...

Oct 2016 27730737
Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to iden...

Oct 2016 27699911
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.

Dramatic changes of the human brain during the first year of postnatal development are poorly unders...

Oct 2016 28083568
Plant growth and diosgenin enhancement effect of silver nanoparticles in Fenugreek ( L.).

Various methods have been used to enhance production of chemically diverse phytochemicals especially...

Sep 2016 28344500
Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development.

Most theories of learning would predict a gradual acquisition and refinement of skills as learning p...

Sep 2016 27680660
BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

We propose BrainNetCNN, a convolutional neural network (CNN) framework to predict clinical neurodeve...

Sep 2016 27693612
Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.

This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segme...

Sep 2016 27725826
Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates.

Sequence analyses of pathogen genomes facilitate the tracking of disease outbreaks and allow relatio...

Sep 2016 27647883
The effect of the neural activity on topological properties of growing neural networks.

The connectivity structure in cortical networks defines how information is transmitted and processed...

Aug 2016 27507003
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children wi...

Jul 2016 27452794
Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines.

Identification and quantification of maturing hematopoietic cell populations in flow cytometry data ...

Jul 2016 27416291
Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.

PURPOSE: Classification of pediatric brain tumors from H-magnetic resonance spectroscopy (MRS) can ...

Jul 2016 27404900
In vitro prebiotic effects and quantitative analysis of Bulnesia sarmienti extract.

Prebiotics are used to influence the growth, colonization, survival, and activity of probiotics, and...

Jun 2016 28911621
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