Pediatrics

Effect of Intelligent Medical Data Technology in Postoperative Nursing Care.

Surgery is one of the larger wounds in conventional surgery, and patients often experience different pain and postural discomfort after surgery. With the ever-changing standards of medical care and patient care requirements, providing high-quality care to postoperative patients is an important measure to reduce complications and promote rapid recovery. However, in the traditional postsurgical nurs...

Metaheuristic Optimization-Driven Novel Deep Learning Approach for Brain Tumor Segmentation.

Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of brain tumors, is very operative in distinguishing and determining the tumor's exact location in the brain. Magnetic resonance imaging (MRI) is an efficient noninvasive technique for the anatomical examination of brain tumors. Growth tissues have a distinguishable look in MRI pictures in order that t...

Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods.

Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. However, an effective screening tool that can asses...

Green Finance Evaluation Based on Neural Network Model.

The weights of green finance indicators are established in accordance with the AHP in order to suggest an evaluation system that is more thorough and ...

Clinical and bacteriological outcomes in patients with urinary tract infections presenting to primary care in Harare, Zimbabwe: a cohort study.

: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobial resistance data. These data, however, are scarc...

A cumulative sum (CUSUM) analysis studying operative times and complications for a surgeon transitioning from laparoscopic to robot-assisted pediatric pyeloplasty: Defining proficiency and competency.

INTRODUCTION: The transition from laparoscopic to robot-assisted procedures leads to potential increase in operative times and health care costs. Cumu...

Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning.

The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throughout the world. It has rapidly spread throughout I...

Machine-learning media bias.

We present an automated method for measuring media bias. Inferring which newspaper published a given article, based only on the frequencies with which...

Application of Artificial Intelligence within Virtual Reality for Production of Digital Media Art.

As technology changes, virtual reality generates realistic images through computer graphics and provides users with an immersive experience through va...

A Machine Learning-Based Intrauterine Growth Restriction (IUGR) Prediction Model for Newborns.

Intrauterine growth restriction (IUGR) is a condition in which the fetal weight is below the 10th percentile for its gestational age. Prenatal exposur...

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis and intervention. To explore brain differences in AS...

Synthetic growth by self-lubricated photopolymerization and extrusion inspired by plants and fungi.

Many natural organisms, such as fungal hyphae and plant roots, grow at their tips, enabling the generation of complex bodies composed of natural mater...

Research on the Development of Hospital Intelligent Finance Based on Artificial Intelligence.

Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligenc...

Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence.

With the rapid development of modern science and technology, the speed of digital media to disseminate information is also accelerating, and the forms...

A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning.

Deep learning is a new learning concept and a highly effective way of learning, which is still being explored in the field of nursing education. This ...

Optimization assisted framework for thyroid detection and classification: A new ensemble technique.

Ultrasound (US) is an inexpensive and non-invasive technique for capturing the image of the thyroid gland and nearby tissue. The classification and de...

Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China.

Machine learning combined with satellite image time series can quickly, and reliably be implemented to map crop distribution and growth monitoring nec...

Single-port robot-assisted laparoscopic pyeloplasty in an infant: A video case report with 9 months follow up.

INTRODUCTION: Single-port robot-assisted laparoscopic surgery is a breakthrough in the field of minimally invasive surgery. However, it is currently o...

Deconstruction of physical fitness assessment system and medical rehabilitation countermeasures for physically disabled teenagers with natural language processing technology.

Disability is a component of social relations and the existence of social reality. An effective solution to the problem of persons with disabilities i...

Consumption Structure Optimization Strategy for Scenic Spots Using the Deep Learning Model under Digital Economy.

The purpose is to find out the problems existing in the consumption economy structure of the scenic spots and to promote the rationalization of the co...