Health Policy

Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models.

To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptcy probability are discussed. Finally, an analytical model of the security bankruptcy probability of financial and insurance is designed through a deep...

Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease.

INTRODUCTION: Hospitalization is the primary driver of inflammatory bowel disease (IBD)-related healthcare costs and morbidity. Traditional prediction models have poor performance at identifying patients at highest risk of unplanned healthcare utilization. Identification of patients who are high-need and high-cost (HNHC) could reduce unplanned healthcare utilization and healthcare costs.

Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning.

Determining the optimal amount of cash stock reserved in each bank branch is a strategic decision. A certain level of cash stock must be kept and read...

Heavyweight Statistical Alignment to Guide Neural Translation.

Transformer neural models with multihead attentions outperform all existing translation models. Nevertheless, some features of traditional statistical...

Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics.

Intelligent health diagnosis for young children aims at maintaining and promoting the healthy development of young children, aiming to make young chil...

Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition.

Driving event detection and driver behavior recognition have been widely explored for many purposes, including detecting distractions, classifying dri...

A Study on the Impact of Digital Finance on Regional Productivity Growth Based on Artificial Neural Networks.

The relationship between financial development and economic growth has become a hot topic in recent years and for China, which is undergoing financial...

Molecular Similarity Perception Based on Machine-Learning Models.

Molecular similarity is an impressively broad topic with many implications in several areas of chemistry. Its roots lie in the paradigm that 'similar ...

Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning.

In recent years, the promotion of quality education and the development of curriculum and teaching materials reform have put forward higher goals and ...

Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing.

Utilizing recent advances in human induced pluripotent stem cell (hiPSC) technology, nonlinear analysis and machine learning we can create novel tools...

A Low-Cost AI Buoy System for Monitoring Water Quality at Offshore Aquaculture Cages.

The ocean resources have been rapidly depleted in the recent decade, and the complementary role of aquaculture to food security has become more critic...

Dual Mode HRI-HRI Control System with a Hybrid Admittance-Force Controller for Ultrasound Imaging.

The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the physical distance policy, especially for procedures ...

A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data.

Training on multiple diverse data sources is critical to ensure unbiased and generalizable AI. In healthcare, data privacy laws prohibit data from bei...

Engaging Through Awareness: Purpose-Driven Framework Development to Evaluate and Develop Future Business Strategies With Exponential Technologies Toward Healthcare Democratization.

Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delive...

Impact of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.

OBJECTIVE: Legislation in 38 states requires patient notification of dense mammographic breast tissue because increased density is a marker of breast ...

Digital Health Profile of South Korea: A Cross Sectional Study.

(1) Backgroud: For future national digital healthcare policy development, it is vital to collect baseline data on the infrastructure and services of m...

Learning Representations Using RNN Encoder-Decoder for Edge Security Control.

Whitelisting is a widely used method in the security field. However, due to the rapid development of the Internet, the traditional whitelisting method...

A multivariate adaptive gradient algorithm with reduced tuning efforts.

Large neural networks usually perform well for executing machine learning tasks. However, models that achieve state-of-the-art performance involve arb...

Proactive approach for preamble detection in 5G-NR PRACH using supervised machine learning and ensemble model.

The physical random access channel (PRACH) is used in the uplink of cellular systems for initial access requests from the users. It is very hard to ac...

An ASIP for Neural Network Inference on Embedded Devices with 99% PE Utilization and 100% Memory Hidden under Low Silicon Cost.

The computation efficiency and flexibility of the accelerator hinder deep neural network (DNN) implementation in embedded applications. Although there...