Pediatrics

A Study on the Impact of Digital Finance on Regional Productivity Growth Based on Artificial Neural Networks.

The relationship between financial development and economic growth has become a hot topic in recent years and for China, which is undergoing financial liberalisation and policy reform, the efficiency of the use of digital finance and the deepening of the balance between quality and quantity in financial development are particularly important for economic growth. This paper investigates the utility...

HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.

A stable predictive model is essential for forecasting the chances of cesarean or C-section (CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and pediatric morbidity and mortality, and can incur significant financial burdens. Limited state-of-the-art machine learning models have been applied in this area in recent years, and the current models are insufficient to c...

A Neural Network Model of Smart Aging Combining Family Structure Change Factors.

In this paper, we analyze the changes in family structure and explore the changes in detail, based on which we construct a neural network model of sma...

Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT.

OBJECTIVE: To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back pr...

Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.

Adolescent development is characterized by an improvement in multiple cognitive processes. While performance on cognitive operations improves during t...

Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health "Integration of Physical, Medical, and Nursing Care".

With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has laun...

Development of a deep learning model that predicts Bi-level positive airway pressure failure.

Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated with harm. The objective of this study was to dev...

Nickel Toxicity Interferes with NO/NH Uptake and Nitrogen Metabolic Enzyme Activity in Rice ( L.).

The excessive use of nickel (Ni) in manufacturing and various industries has made Ni a serious pollutant in the past few decades. As a micronutrient, ...

Robotic nephroureterectomy in the management of upper tract urothelial cancer: inching toward standard of care?

Upper-tract urothelial carcinoma is a relatively rare malignancy. Current guidelines strongly recommend radical nephroureterectomy with bladder cuff e...

Deep Learning for Infant Cry Recognition.

Recognizing why an infant cries is challenging as babies cannot communicate verbally with others to express their wishes or needs. This leads to diffi...

A novel approach to radiographic detection of growth development period with hand-wrist radiographs: A preliminary study with ImageJ imaging software.

OBJECTIVE: The purpose of this study is to determine whether or not the ImageJ program can be used to automatically determine the growth period of the...

A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning.

Digital radiography is widely available and the standard modality in trauma imaging, often enabling to diagnose pediatric wrist fractures. However, im...

The Application of Digital Technology in the Complex Situation of News Dissemination from the Perspective of New Media Art.

As the continous innovation of new media technology, the media environment of the entire society has undergone profound changes. Digital technology ha...

Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Pediatric gait disorders are often chronic and accompanied by various complications, which challenge rehabilitation efforts. Here, we retrospectively ...

Unsupervised Visual-Textual Correlation Learning With Fine-Grained Semantic Alignment.

With the rapid growth of multimedia data on the Internet, there has been a rapid rise in the demand for visual-textual cross-media retrieval between i...

Calf Thymus Polypeptide Restrains the Growth of Colorectal Tumor Regulating the Intestinal Microbiota-Mediated Immune Function.

Calf thymus polypeptide (CTP), with a molecular mass of <10 kDa, is prepared from the thymus of less than 30-day-old newborn cattle. In the present st...

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death.

BACKGROUND: The Neonatal mortality rate in the United States is 3.8 deaths per 1000 live births, which is comparably higher than other nations.

E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

China Internet plus agriculture was first put forward in 2015 by the Chinese government's work report, laying the foundation for the development of In...

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.

Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical s...

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

BACKGROUND: In infant abuse investigations, dating of skeletal injuries from radiographs is desirable to reach a clear timeline of traumatic events. P...