Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep le...

Event-level prediction of urban crime reveals a signature of enforcement bias in US cities.

Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly man...

AI-Enabled Mosquito Surveillance and Population Mapping Using Dragonfly Robot.

Mosquito-borne diseases can pose serious risks to human health. Therefore, mosquito surveillance and...

Machine Learning-Based Regression Framework to Predict Health Insurance Premiums.

Artificial intelligence (AI) and machine learning (ML) in healthcare are approaches to make people's...

Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques.

BACKGROUND: Diseases such as Alternaria and pests such as leafminer threaten tomato as one of the mo...

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and ...

Automated Screening of COVID-19-Based Tongue Image on Chinese Medicine.

OBJECTIVE: Artificial intelligence-powered screening systems of coronavirus disease 2019 (COVID-19) ...

Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder.

As an essential task in computer vision, video anomaly detection technology is used in video surveil...

Community-based mosquito surveillance: an automatic mosquito-on-human-skin recognition system with a deep learning algorithm.

BACKGROUND: Public community engagement is crucial for mosquito surveillance programs. To support co...

A Review of Image Processing Techniques for Deepfakes.

Deep learning is used to address a wide range of challenging issues including large data analysis, i...

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak d...

Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data.

Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is more prevalen...

Contemporary Value Assessment of Marxist Ideology under the Context of Deep Learning.

As a conceptual superstructure, ideology plays a very important role in national security, social st...

Weakly Supervised Violence Detection in Surveillance Video.

Automatic violence detection in video surveillance is essential for social and personal security. Mo...

Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.

BACKGROUND: Previous epidemiological studies have examined the prevalence and risk factors for a var...

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...

Application of Neural Network Algorithm in Medical Artificial Intelligence Product Development.

With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks...

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...

GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set.

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applicat...

The Design of Psychological Education Intervention System in Universities Based on Deep Learning.

With the rapid development of Chinese society and economy as well as the deepening of the reform of ...

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,...

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