Public Health & Policy

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

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Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may ca...

Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in d...

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP)...

Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

Influenza A viruses remain a significant health problem, especially when a novel subtype emerges fro...

Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.

Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, an...

Prediction of crime occurrence from multi-modal data using deep learning.

In recent years, various studies have been conducted on the prediction of crime occurrences. This pr...

Hepatitis B reactivation in psoriasis patients treated with anti-TNF agents: prevention and management.

The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patie...

Assigning clinical codes with data-driven concept representation on Dutch clinical free text.

Clinical codes are used for public reporting purposes, are fundamental to determining public financi...

Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies.

Binary classification problems are ubiquitous in health and social sciences. In many cases, one wish...

(matico) prevents collagen-induced platelet activation by decreasing phospholipase C-gamma 2 and protein kinase C phosphorylation signaling.

Platelets play a key role in thrombosis and cardiovascular diseases. Medicinal plants could be one o...

A doubly robust approach for cost-effectiveness estimation from observational data.

Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio...

Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.

OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug r...

Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network.

Tuberculosis (TB) affects people globally and is being reconsidered as a serious public health probl...

Metabolic changes in rat serum after administration of suberoylanilide hydroxamic acid and discriminated by SVM.

Suberoylanilide hydroxamic acid (SAHA) exerts marked anticancer effects via promotion of apoptosis, ...

Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston.

This paper continues an initiative conducted by the International Society for Disease Surveillance w...

Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates.

BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...

Prediction of lymph node parasite load from clinical data in dogs with leishmaniasis: An application of radial basis artificial neural networks.

Quantification of Leishmania infantum load via real-time quantitative polymerase chain reaction (qPC...

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...

A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.

BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before ...

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