Public Health & Policy

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

8,532 articles

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

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

Feb 2017 29298637

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...

Jan 2017 28115032

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 ...

Dec 2016 28210419

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...

Dec 2016 28210420

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...

Dec 2016 28002438

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 ...

Dec 2016 27998283

SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification.

BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the ...

Dec 2016 28105919

Susceptibility Profiles of Isolates to Streptomycin and Rifampicin in Two Districts of the Eastern Region of Ghana.

. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...

Dec 2016 28070190

Efficacy of tildipirosin metaphylaxis for the prevention of respiratory disease, otitis and mortality in pre-weaned Holstein calves.

The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting anti...

Dec 2016 28093111

Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.

Estimation of causal effects using observational data continues to grow in popularity in the epidemi...

Dec 2016 27941068

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identific...

Dec 2016 27935995

Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It?

INTRODUCTION: Data from social media have been shown to have utility in augmenting traditional appro...

Dec 2016 28123858

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier.

Missing data is a common issue in community health and epidemiological studies. Direct removal of sa...

Dec 2016 27925597

An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans.

Having a system to stratify individuals according to risk is key to clinical disease prevention. Thi...

Nov 2016 27913364

Cancer Care Access and Outcomes for American Indian Populations in the United States: Challenges and Models for Progress.

Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) i...

Nov 2016 28325240

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.

Early childhood anxiety disorders are common, impairing, and predictive of anxiety and mood disorder...

Nov 2016 27880812

Development of chronic hepatitis B infection in a hepatitis B vaccine responder.

The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...

Nov 2016 28266264

Marginal zone lymphoma: Associated autoimmunity and auto-immune disorders.

Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the ...

Nov 2016 28288719

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial.

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences...

Nov 2016 27813129

Studies in using a universal exchange and inference language for evidence based medicine. Semi-automated learning and reasoning for PICO methodology, systematic review, and environmental epidemiology.

The Q-UEL language of XML-like tags and the associated software applications are providing a valuabl...

Oct 2016 27846446

Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates.

Sequence analyses of pathogen genomes facilitate the tracking of disease outbreaks and allow relatio...

Sep 2016 27647883