Pediatrics

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

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

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

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...

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...

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...

Cognitive Offloading Does Not Prevent but Rather Promotes Cognitive Development.

We investigate the relation between the development of reactive and cognitive capabilities. In parti...

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...

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 ...

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...

Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Electronic Health Record (EHR) use in India is generally poor, and structured clinical information i...

Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction.

BACKGROUND: Clinical Natural Language Processing (NLP) systems require a semantic schema comprised o...

Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling: A Simulation Study.

Researchers continue to be interested in efficient, accurate methods of estimating coefficients of c...

Real-time multi-channel monitoring of burst-suppression using neural network technology during pediatric status epilepticus treatment.

OBJECTIVE: To develop a real-time monitoring system that has the potential to guide the titration of...

An ensemble method for extracting adverse drug events from social media.

OBJECTIVE: Because adverse drug events (ADEs) are a serious health problem and a leading cause of de...

Robot deployment in long-term care : Case study on using a mobile robot to support physiotherapy.

BACKGROUND: Healthcare systems in industrialized countries face the challenge of providing care for ...

Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery.

Among various expert systems (ES), Artificial Neural Network (ANN) has shown to be suitable for the ...

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