Pediatrics

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

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Showing 3613-3633 of 6,566 articles
Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.

Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biol...

Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.

Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluatio...

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks.

This study outlines a new method of automatically estimating weed species and growth stages (from co...

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning.

BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk ...

Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification.

BACKGROUND: Current Chinese medicine has an urgent demand for convenient medical services. When faci...

Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma.

Adamantinomatous craniopharyngioma (ACP) is an aggressive brain tumor that occurs predominantly in t...

Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

Medically complex patients consume a disproportionate amount of care resources in hospitals but stil...

The Dependence of Machine Learning on Electronic Medical Record Quality.

There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). ...

Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagn...

Neonatal Seizure Detection Using Deep Convolutional Neural Networks.

Identifying a core set of features is one of the most important steps in the development of an autom...

Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.

BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patie...

OBO to UML: Support for the development of conceptual models in the biomedical domain.

A conceptual model abstractly defines a number of concepts and their relationships for the purposes ...

Critiquing the Reasons for Making Artificial Moral Agents.

Many industry leaders and academics from the field of machine ethics would have us believe that the ...

Maternal exposure to ambient PM during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models.

Previous research suggested an association between maternal exposure to ambient air pollutants and r...

Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.

Electronic health records (EHRs) contain critical information useful for clinical studies. Early ass...

Robotics in Orthopedics: A Brave New World.

Future health-care projection projects a significant growth in population by 2020. Health care has s...

Neural electrical activity and neural network growth.

The development of central and peripheral neural system depends in part on the emergence of the corr...

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