Pediatrics

Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future exacerbation to allow targeted prevention measures. We sought to evaluate the utility of models using spatiotemporally resolved climatic data and indiv...

How does artificial intelligence affect green economic growth?-Evidence from China.

As the driving force behind the new wave of technological advancement, artificial intelligence (AI) paves the way for a new era of green economic growth. This paper uses the case of China and constructs a relevant mathematical model to propose the two-way impact of AI on green total factor productivity (GTFP) and systematically analyze the impact of AI on green economic growth. The main findings o...

Automated Machine Learning Pipeline Framework for Classification of Pediatric Functional Nausea Using High-Resolution Electrogastrogram.

OBJECTIVE: Pediatric functional nausea is challenging for patients to manage and for clinicians to treat since it lacks objective diagnosis and assess...

Application and potential of artificial intelligence in neonatal medicine.

Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physiological, diagnostic and outcome data. Artificial i...

Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.

Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultan...

A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction.

Neuroblastoma is a pediatric cancer with high morbidity and mortality. Accurate survival prediction of patients with neuroblastoma plays an important ...

Incidence and resolution of de novo hydronephrosis after pediatric robot-assisted laparoscopic extravesical ureteral reimplantation for primary vesicoureteral reflux.

INTRODUCTION: With the advent of robot-assisted laparoscopic ureteral reimplantation (RALUR) for primary vesicoureteral reflux (VUR), understanding an...

Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing.

Artificial Intelligence has guided technological progress in recent years; it has shown significant development with increased academic studies on Mac...

Effects of nitrogen and phosphorus addition on growth and leaf nitrogen metabolism of alfalfa in alkaline soil in Yinchuan Plain of Hetao Basin.

Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to solve land shortage and improve the environment. Alf...

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network.

The development of social economy and Internet information technology has made the development of the sharing economy relatively rapid. This article a...

Editorial Comment to Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

SRAS-net: Low-resolution chromosome image classification based on deep learning.

Prenatal karyotype diagnosis is important to determine if the foetus has genetic diseases and some congenital diseases. Chromosome classification is a...

Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA).

In the current information and technology era, business enterprises are focusing in performing the process effectively by reducing the waiting time in...

Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman.

Since the outbreak of COVID-19, BRICS countries have experienced different epidemic spread due to different health conditions, social isolation measur...

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outc...

Machine learning to predict effective reaction rates in 3D porous media from pore structural features.

Large discrepancies between well-mixed reaction rates and effective reactions rates estimated under fluid flow conditions have been a major issue for ...

Microfluidic Tissue Engineering and Bio-Actuation.

Bio-hybrid technologies aim to replicate the unique capabilities of biological systems that could surpass advanced artificial technologies. Soft bio-h...

A Human Resource Demand Forecasting Method Based on Improved BP Algorithm.

Human resources are the first resource for enterprise development, and a reasonable human resource structure will increase the effectiveness of an ent...

Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory dist...

Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

OBJECTIVE: Literature suggests access to robotic surgery varies by race and payer status. We seek to investigate whether disparities exist in robot-as...