Public Health & Policy

Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources

Infectious diseases occur when pathogens from other individuals or animals infect a person, result...

Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

This study develops a cloud-based deep learning system for early prediction of diabetes, leveragin...

Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency

In a world burdened by air pollution, the integration of state-of-the-art sensor calibration techn...

Machine learning-based individualized survival prediction model for prognosis in osteosarcoma: Data from the SEER database.

Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment strategies. This ...

Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics

Mathematical modelling has served a central role in studying how infectious disease transmission m...

[Progress in application of machine learning in epidemiology].

Population based health data collection and analysis are important in epidemiological research. In r...

Bayesian estimation of transmission networks for infectious diseases

Reconstructing transmission networks is essential for identifying key factors like superspreaders ...

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Due to the importance of COVID-19 control, innovative methods for predicting cases using social netw...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study.

Generative AI models, such as ChatGPT, have significantly impacted healthcare through the strategic ...

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Privacy research has attracted wide attention as individuals worry that their private data can be ...

Decentralized Health Intelligence Network (DHIN)

Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (D...

Reducing Urban Speed Limits Decreases Work-Related Traffic Injury Severity: Evidence from Santiago, Chile

Work-related transportation incidents significantly impact urban mobility and productivity. These ...

How Should Medicare Pay for Artificial Intelligence?

Machine learning and deep learning tools for the automated capture of cancer surveillance data.

The National Cancer Institute and the Department of Energy strategic partnership applies advanced co...

Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review.

The Global Burden of Animal Diseases (GBADs) programme aims to assess the impact of animal health on...

Flusion: Integrating multiple data sources for accurate influenza predictions

Over the last ten years, the US Centers for Disease Control and Prevention (CDC) has organized an ...

Development of an Intelligent Health Education System Based on Large Language Model for Elderly Pulmonary Aspiration Prevention.

As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a r...

The Voice: Lessons on Trustworthy Conversational Agents from "Dune"

The potential for untrustworthy conversational agents presents a significant threat for covert soc...

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study ...

Automated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.

BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease...