Public Health & Policy

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

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Showing 3130-3150 of 9,137 articles
Wastewater-informed neural compartmental model for long-horizon case number projections

Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, bu...

One-Shot Crowd Counting With Density Guidance For Scene Adaptaion

Crowd scenes captured by cameras at different locations vary greatly, and existing crowd models have...

An AI Agent for Automated Causal Inference in Epidemiology

Abstract Objective: To address the inefficiency, subjectivity, and high expertise barrier of traditi...

Predictive Modeling of COVID-19 Variant Peak Prevalence and Duration Using GISAID Data Across 15 Countries

BackgroundRapid emergence and replacement of SARS-CoV-2 variants underscore the need for early and r...

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

Objective To characterize the clinical and administrative concerns communicated through secure ophth...

Bayesian neural networks enable inference of complex phylodynamic processes

Phylogenetic branching patterns carry essential information about population and diversification dyn...

Genomic Signatures and Prediction of Clinical Severity in Klebsiella pneumoniae infections in a Multicenter Cohort

Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contribu...

Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offer...

Interpretable Lifestyle-Based Machine Learning Models for Ten-Year Cardiovascular Risk Prediction using data from the UK Biobank

Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...

Real-World Data for Predicting Rapid Relapse Triple Negative Cancer: A Study Using NCDB and EHR Data

Background: Many patients with triple-negative breast cancer (TNBC), particularly those who are olde...

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Persistent Proxy Discrimination in HIV Testing Prediction Models: A National Fairness Audit of 386,775 US Adults

Background: Human immunodeficiency virus (HIV) disproportionately affects marginalized communities i...

HERS: Hidden-Pattern Expert Learning for Risk-Specific Vehicle Damage Adaptation in Diffusion Models

Recent advances in text-to-image (T2I) diffusion models have enabled increasingly realistic synthesi...

HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis

Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urg...

AI-Powered Acoustic Surveillance for Early Detection of Calf Respiratory Disease

Effective management of Bovine Respiratory Disease Complex (BRDC) requires timely, non-invasive diag...

A comprehensive overview of deep learning models for object detection from videos/images

Object detection in video and image surveillance is a well-established yet rapidly evolving task, st...

Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants

Background: Pediatric dental disease remains one of the most prevalent and inequitable chronic healt...

Transmission Dynamics of Eastern Equine Encephalitis Infection Rates: The Role of Avian Host Stage and Differential Mosquito Exposure

Eastern equine encephalitis virus (EEEV) is a deadly arboviral pathogen with 30% severe case fatalit...

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