Public Health & Policy

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.

The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...

System Dynamics Modeling for Diabetes Treatment and Prevention Planning.

The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...

Building a cancer risk and survival prediction model based on social determinants of health combined with machine learning: A NHANES 1999 to 2018 retrospective cohort study.

The occurrence and progression of cancer is a significant focus of research worldwide, often accompa...

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural ...

Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

With the wide application of new technologies such as large language models and generative artificia...

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...

A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns.

When studying the impact of policy interventions or natural experiments on air pollution, such as ne...

CircaKB: a comprehensive knowledgebase of circadian genes across multiple species.

Circadian rhythms, which are the natural cycles that dictate various physiological processes over a ...

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.

Preeclampsia is a pregnancy-specific disease characterized by new onset hypertension after 20 weeks ...

Cholera Outbreak in Nigeria: History, Review of Socioeconomic and Meteorological Drivers, Diagnostic Challenges, and Artificial Intelligence Integration.

Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic ...

An exploration of current and future vector-borne disease threats and opportunities for change.

Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the worl...

Intimate partner violence and stress-related disorders: from epigenomics to resilience.

Intimate Partner Violence (IPV) is a major public health problem to be addressed with innovative and...

Anomaly recognition in surveillance based on feature optimizer using deep learning.

Surveillance systems are integral to ensuring public safety by detecting unusual incidents, yet exis...

Providing a Prostate Cancer Detection and Prevention Method With Developed Deep Learning Approach.

Prostate cancer is the second most common cancer among men worldwide. This cancer has become extrem...

A Novel approach to ship valuation prediction: An application to the supramax and ultramax secondhand markets.

Accurate ship valuations are very important in ship sales and purchase (S&P) transactions and for ma...

Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review.

Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environme...

HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

The rapid development and integration of interconnected healthcare devices and communication network...

What drives the effectiveness of social distancing in combating COVID-19 across U.S. states?

We propose a new theory of information-based voluntary social distancing in which people's responses...

Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...

Retraction: Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data.