Pediatrics

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

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Effect of pseudolaric acid B on biochemical and physiologic characteristics in Colletotrichum gloeosporioides.

In our previous study on natural products with fungicidal activity, pseudolaric acid B (PAB) isolate...

Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.

Natural Language Processing (NLP) methods are increasingly being utilized to mine knowledge from un...

The Cost-effectiveness of a Point-of-Care Paper Transaminase Test for Monitoring Treatment of HIV/TB Co-Infected Persons.

BACKGROUND: Persons with HIV and tuberculosis (TB) co-infection require transaminase monitoring whil...

Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions.

BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity d...

Predicting symptomatic cerebral vasospasm after aneurysmal subarachnoid hemorrhage with an artificial neural network in a pediatric population.

PURPOSE: Artificial neural networks (ANN) are increasingly applied to complex medical problem solvin...

Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice.

Geographical origin determination of white rice has become the major issue of food industry. However...

A comparison of machine learning and Bayesian modelling for molecular serotyping.

BACKGROUND: Streptococcus pneumoniae is a human pathogen that is a major cause of infant mortality. ...

The ResQu Index: A new instrument to appraise the quality of research on birth place.

OBJECTIVE: Place of birth is a known determinant of health care outcomes, interventions and costs. M...

Learning and combining image neighborhoods using random forests for neonatal brain disease classification.

It is challenging to characterize and classify normal and abnormal brain development during early ch...

Please Don't Move-Evaluating Motion Artifact From Peripheral Quantitative Computed Tomography Scans Using Textural Features.

Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible ...

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoug...

Stance and influence of Twitter users regarding the Brexit referendum.

Social media are an important source of information about the political issues, reflecting, as well ...

Robotic assistants in personal care: A scoping review.

The aim of this study is to present an overview of the technological advances in the field of roboti...

Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

BACKGROUND: Robot-assisted gait therapy is increasingly being used in pediatric neurorehabilitation ...

Quantification of theophylline or paracetamol in milk matrices by high-performance liquid chromatography.

A simple, accurate and sensitive high-performance liquid chromatography (HPLC) method was developed,...

Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks.

Cross-experiment comparisons in public data compendia are challenged by unmatched conditions and tec...

A Novel Case of Somatic Mutation in Pediatric-Onset Aldosterone-Producing Adenoma.

Aldosterone-producing adenoma (APA), a subtype of primary aldosteronism, is a common cause of second...

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