Health Policy

Groundwater Quality: The Application of Artificial Intelligence.

Humans and all other living things depend on having access to clean water, as it is an indispensable essential resource. Therefore, the development of a model that can predict water quality conditions in the future will have substantial societal and economic value. This can be accomplished by using a model that can predict future water quality circumstances. In this study, we employed a sophistica...

Cost analysis and cost-effectiveness of open versus laparoscopic versus robot-assisted versus transanal total mesorectal excision in patients with rectal cancer: a protocol for a systematic review.

INTRODUCTION: Nowadays, most rectal tumours are treated open or minimally invasive, using laparoscopic, robot-assisted or transanal total mesorectal excision. However, insight into the total costs of these techniques is limited. Since all three techniques are currently being performed, including cost considerations in the choice of treatment technique may significantly impact future healthcare cos...

Evaluating Patients' Experiences with Healthcare Services: Extracting Domain and Language-Specific Information from Free-Text Narratives.

Evaluating patients’ experience and satisfaction often calls for analyses of free-text data. Language and domain-specific information extraction can r...

Detection of Corporate Environmental Information Disclosure Falsification Based on Support Vector Machine.

Environmental information disclosure (EID) is an important embodiment of corporate social responsibility. With the awakening of public awareness of en...

Deep learning for quality assessment of optical coherence tomography angiography images.

Optical coherence tomography angiography (OCTA) is an emerging non-invasive technique for imaging the retinal vasculature. While there are many promis...

Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human-Robot Interaction via Deep Reinforcement Learning.

This paper presents a novel approach for designing a robotic orthosis controller considering physical human-robot interaction (pHRI). Computer simulat...

Particle Swarm Optimized Fuzzy CNN With Quantitative Feature Fusion for Ultrasound Image Quality Identification.

Inherently ultrasound images are susceptible to noise which leads to several image quality issues. Hence, rating of an image's quality is crucial sinc...

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...

Fusion Evaluation of College Cultivation by Adaptive Multivariate Neural Network Model.

The quality of graduates is the key factor in evaluating the cultivation effect of colleges and universities. Quantification of whether the graduates ...

A Study on Exploring the Path of Psychology and Civics Teaching Reform in Universities Based on Artificial Intelligence.

The development of precise teaching of civics with artificial intelligence not only is the realistic need of the development of the times and technolo...

Enabling Artificial Intelligence of Things (AIoT) Healthcare Architectures and Listing Security Issues.

A significant study has been undertaken in the areas of health care and administration of cutting-edge artificial intelligence (AI) technologies throu...

Using Healthcare Resources Wisely: A Predictive Support System Regarding the Severity of Patient Falls.

BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities. Despite several fall screen tools being widely u...

A Study of College Teachers' English Teaching Quality Based on Fuzzy Neural Network.

In many universities and colleges, the government is now paying more attention to the quality of teaching assessment, and research on English teaching...

Deep-Learning-Based Ultrasound Sound-Speed Tomography Reconstruction with Tikhonov Pseudo-Inverse Priori.

Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging and breast cancer detection. Its reconstruction is a complex non...

: Intelligent Wireless System for Cost-Effective Rapid Condition Assessment of Bridges under Impacts.

Bridge strikes by over-height vehicles or ships are critical sudden events. Due to their unpredictable nature, many events go unnoticed or unreported,...

Bloom's Classification of Educational Objectives Based on Deep Learning Theory Teaching Design of Nursing Specialty.

Through the effective integration of various teaching resources, carry out the teaching design of "basic nursing technology" for the nursing specialty...

The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images.

To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to ...

Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses.

BACKGROUND: Currently, the healthcare sector strives to improve the quality of patient care management and to enhance/increase its economic performanc...

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN).

Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Radio Access Network (vRAN) and most recently with th...

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

The turn of contemporary visual culture has led to the expansion of the connotation and scope of visual communication design (VCD) education, the gene...