Health Policy

Volume-outcome relationship in intra-abdominal robotic-assisted surgery: a systematic review.

As robotic-assisted surgery (RAS) expands to smaller centres, platforms are shared between specialities. Healthcare providers must consider case volume and mix required to maintain quality and cost-effectiveness. This can be informed, in-part, by the volume-outcome relationship. We perform a systematic review to describe the volume-outcome relationship in intra-abdominal robotic-assisted surgery t...

A multi-granularity convolutional neural network model with temporal information and attention mechanism for efficient diabetes medical cost prediction.

As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medical costs of diabetes. Most medical cost studies based on convolutional neural networks (CNNs) ignore the importance of multi-granularity information of medical concepts and time interval characteristics of patients' multiple visit sequences, which reflect the frequency of patient visits and the sever...

Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence.

Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of data to help solve real-world, complex problems. ...

An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare.

The number of older people needing healthcare is a growing global phenomenon. The assistance in long-term care comprises a complex of medical, nursing...

Development and Evaluation of Machine Learning-Based High-Cost Prediction Model Using Health Check-Up Data by the National Health Insurance Service of Korea.

In this study, socioeconomic, medical treatment, and health check-up data from 2010 to 2017 of the National Health Insurance Service (NHIS) of Korea w...

Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov.

Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns, despite a lack of understanding of its performance i...

A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification.

Manual or traditional industrial product inspection and defect-recognition models have some limitations, including process complexity, time-consuming,...

Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.

Personalised healthcare has seen significant improvements due to the introduction of health monitoring technologies that allow wearable devices to uni...

Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the ma...

Higher Education Environment Monitoring and Quality Assessment Model Using Big Data Analysis and Deep Learning.

A university exists to help students develop their skills. The goal of university development is to raise the standard of personnel training, and the ...

Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach.

Effective software cost estimation significantly contributes to decision-making. The rising trend of using nature-inspired meta-heuristic algorithms h...

Towards Lightweight Neural Networks for Garbage Object Detection.

In recent years, garbage classification has become a hot topic in China, and legislation on garbage classification has been proposed. Proper garbage c...

The Analysis of Environmental Cost Control of Manufacturing Enterprises Using Deep Learning Optimization Algorithm and Internet of Things.

Under the background of the Internet of things (IoT), the problems between the actual production and the environment are also prominent. The environme...

Research on the Predictive Analysis of Park Landscape Design and Cost Based on RNN Model.

As people's awareness of the environment gradually increases and their requirements for the comfort of living space become higher, landscape design ha...

Synchronization control of time-delay neural networks via event-triggered non-fragile cost-guaranteed control.

This paper is devoted to event-triggered non-fragile cost-guaranteed synchronization control for time-delay neural networks. The switched event-trigge...

Artificial ecosystem optimization with Deep Learning Enabled Water Quality Prediction and Classification model.

The majority of what is needed to maintain life is found in the approximately 70 percent of the earth's surface that is composed of water. Water quali...

A Novel Feature Selection with Hybrid Deep Learning Based Heart Disease Detection and Classification in the e-Healthcare Environment.

With the advancements in data mining, wearables, and cloud computing, online disease diagnosis services have been widely employed in the e-healthcare ...

From real-world electronic health record data to real-world results using artificial intelligence.

With the worldwide digitalisation of medical records, electronic health records (EHRs) have become an increasingly important source of real-world data...

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier.

Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It's Zero-day variants are even more hazardous, as l...

Blind Quality Prediction for View Synthesis Based on Heterogeneous Distortion Perception.

The quality of synthesized images directly affects the practical application of virtual view synthesis technology, which typically uses a depth-image-...