Public Health & Policy

Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.

The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and ...

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning.

Smartphone addiction among students has emerged as a critical issue, negatively impacting their acad...

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs

Bias in Large Language Models (LLMs) significantly undermines their reliability and fairness. We f...

Impact of Distance on Epidemiological Dynamics in Human Connection Network with Mobility

The spread of infectious diseases is often influenced by human mobility across different geographi...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

[Expert consensus on systematic assessment and treatment of refractory wounds in the elderly (2025 edition)].

Early prevention and standardized management of refractory wounds in the elderly are very important ...

Adaptive Image Restoration for Video Surveillance: A Real-Time Approach

One of the major challenges in the field of computer vision especially for detection, segmentation...

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review

Suicide remains one of the main preventable causes of death among active service members and veter...

Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics.

Differential equations-based epidemiological compartmental systems and deep neural networks-based ar...

Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models.

BACKGROUND: Identifying determinants of low bone mineral density (BMD) is crucial for understanding ...

Pros, Cons and Limits of AI in Public Health.

This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...

Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.

The PERMANENS European project addresses the global public health challenge of self-harm and suicide...

Participatory Design of an AI-Based CDSS for Delirium Prevention.

Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and...

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.

The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, par...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...

WSCIF: A Weakly-Supervised Color Intelligence Framework for Tactical Anomaly Detection in Surveillance Keyframes

The deployment of traditional deep learning models in high-risk security tasks in an unlabeled, da...

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes signi...

Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up.

Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...

"What Did You Say, ChatGPT?" The Use of AI in Black Women's HIV Self-Education: An Inductive Qualitative Data Analysis.

The emergence of widely accessible artificial intelligence (AI) chatbots such as ChatGPT presents un...

Publisher Correction: A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud.