Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence.

With the rapid development of science and technology in recent years, more and more researchers bega...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth re...

Evaluation of the Design of "Shape" and "Meaning" of Book Binding from the Perspective of Deep Learning.

Book binding is the procedure of manually accumulating a book in codex format from a well-ordered pi...

Influence of Different Passing Methods of Physical Fitness in Football Using Deep Learning.

Deep learning is a new direction in the field of machine learning, which learns the inherent laws an...

A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of...

A Novel Deep Framework for English Communication Based on Educational Psychology Perspective.

The impact of verbal reading practices on learning is examined from the perspective of educational p...

Analysis of the Relationship between Transformational Leadership and Educational Management in Higher Education Based on Deep Learning.

Leadership behavior has been emphasized as one of the most important influencing factors in the inno...

Monitoring and Analysis of Youth Sports Physique by Intelligent Medical Robot Based on Cognitive Computing.

As a key part of promoting the physical health of the people and promoting social progress, sports h...

Environmental Affection-Driven English Tense Analysis: A Healthcare Exercise-Based Corpus Case Study over Public English Environment.

Most international academic papers are written in English, and the use of tenses in English academic...

Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world applica...

Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Background: The present study investigates the relationship between hypertransaminasemia and malnutr...

Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Base...

Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs.

Background Preexisting indexes for predicting the prognosis of chronic obstructive pulmonary disease...

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

While the advanced diagnostic tools and healthcare management protocols have been struggling to cont...

Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.

Biomedical images contain a huge number of sensor measurements that can provide disease characterist...

Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

The rate of adaptive evolution depends on the rate at which beneficial mutations are introduced into...

Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.

This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent f...

A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level.

To address the problem of ambiguity and one-sidedness in the evaluation of comprehensive comfort per...

Motion Recognition Based on Deep Learning and Human Joint Points.

In order to solve the problem that the traditional feature extraction methods rely on manual design,...

Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.

Atrial fibrillation (AF) is the most common type of sustained arrhythmia. It results from abnormal i...

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle change...

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