Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

4,190 articles
Stay Ahead - Weekly Work Force research updates
Subscribe
Browse Categories
Showing 1366-1386 of 4,190 articles
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis.

BACKGROUND: Deep convolutional neural networks (CNNs) have yielded promising results in automatic wh...

A new method for training creativity: narrative as an alternative to divergent thinking.

Creativity is a major source of innovation, growth, adaptability, and psychological resilience, maki...

Robot-assisted training using hybrid assistive limb ameliorates gait ability in patients with amyotrophic lateral sclerosis.

OBJECTIVE: The Hybrid Assistive Limb (HAL; CYBERDYNE, Inc., Japan) is a wearable robot device that p...

A Novel Framework for Arabic Dialect Chatbot Using Machine Learning.

With the advent of artificial intelligence and proliferation in the demand for an online dialogue sy...

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models.

Sports training strategies should be combined with science and technology to design the most suitabl...

A Study of Feature Construction Based on Least Squares and RBF Neural Networks in Sports Training Behaviour Prediction.

This paper examines the problem of athletes' training in sports, exploring the methods and means by ...

Learning online visual invariances for novel objects via supervised and self-supervised training.

Humans can identify objects following various spatial transformations such as scale and viewpoint. T...

Intelligent virtual case learning system based on real medical records and natural language processing.

BACKGROUND: Modernizing medical education by using artificial intelligence and other new technologie...

Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.

Large datasets with high-quality labels required to train deep neural networks are challenging to ob...

Universality of gradient descent neural network training.

It has been observed that design choices of neural networks are often crucial for their successful o...

Detection of Backdoors in Trained Classifiers Without Access to the Training Set.

With wide deployment of deep neural network (DNN) classifiers, there is great potential for harm fro...

A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant.

Almond is an extendible open-source virtual assistant designed to help people access Internet servic...

Comparative analysis of explainable machine learning prediction models for hospital mortality.

BACKGROUND: Machine learning (ML) holds the promise of becoming an essential tool for utilising the ...

Towards improving fast adversarial training in multi-exit network.

Adversarial examples are usually generated by adding adversarial perturbations on clean samples, des...

Construction of a Physical and Medical Care Integrated Model for the Elderly in the Community Based on Artificial Intelligence and Machine Learning.

With the increasingly serious population aging, economic system transformation, and social transform...

Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.

(1) Background: Parkinson's Disease (PD) is one of the most common causes of disability among older ...

Weighted IForest and siamese GRU on small sample anomaly detection in healthcare.

Background and objectiveAt present, many achievements have been made in anomaly detection of big dat...

Robot-assisted gait training with auditory and visual cues in Parkinson's disease: A randomized controlled trial.

BACKGROUND: Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (...

Missing-Sheds Granularity Estimation of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.

Insulator defect detection is an important task in inspecting overhead transmission lines. However, ...

Application of Unsupervised Migration Method Based on Deep Learning Model in Basketball Training.

Nowadays, China's sports industry has attained effective development, but the athlete's efficiency i...

Browse Categories