Public Health & Policy

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

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Showing 2710-2730 of 8,541 articles
Discrete-Event Simulation Modeling Framework for Cancer Interventions and Population Health in R (DESCIPHR): An Open-Source Pipeline

Simulation models inform health policy decisions by integrating data from multiple sources and forec...

Development of a Multi-Model Ensemble Tool for Early Prediction of 48-Hour Respiratory Failure Risk in CAP Patients

To develop a predictive tool capable of early identification of the risk of acute respiratory failur...

A three-dose MVA-BN mpox vaccination series improves the quality of anti-monkeypox virus immunity

The 2022 global outbreak of clade IIb mpox represented a turning point in public health’s handling o...

Develop and Validate A Fair Machine Learning Model to Indentify Patients with High Care-Continuity in Electronic Health Records Data

Electronic health record (EHR) data often missed care outside a given health system, resulting in da...

Science or Advocacy? The Global Rise of Policy Claims in Population Health Research (1990-2024)

Should original research routinely contain prominent policy claims, such as recommendations for poli...

Fairness in infectious disease modeling

The concept of fairness has been extensively examined within the domains of Machine Learning and Art...

Epidemiologic Method Review at Scale: Assessing Charlson Comorbidity Versioning Using a Large Language Model

The Charlson Comorbidity Index (CCI) is widely used in epidemiologic studies. However, many versions...

Machine learning-driven prediction of opioid and stimulant-related drug overdose fatalities: Analysis of the potential fourth wave

Between 2010 and 2021, fentanyl and stimulants co-involved deaths increased from 0.6% to 32.3% of al...

Dynamic Stroke Risk Stratification via Machine Learning: A Multi-Level Single-Center Study

Stroke is a leading global public health challenge and the second leading cause of death worldwide. ...

Temporal deep learning with clinically engineered biomarkers for the early prediction of type 2 diabetes

Diabetes mellitus remains a major global health burden, causing an estimated 3.4 million deaths in 2...

TRUSTING: An International Multicenter Observational Study of Speech-Based Relapse Prediction in Psychosis Using Explainable AI

The course of psychotic disorders typically involves relapses. Early warning signs vary between indi...

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...

Jan 2025 40443936
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...

Jan 2025 40367150
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