Public Health & Policy

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

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Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method.

Prevention and early intervention are the most effective ways of avoiding or minimizing psychologica...

Haemophilus influenzae type b (Hib) seroprevalence and current epidemiology in England and Wales.

INTRODUCTION: The implementation of the Hib conjugate vaccine in the United Kingdom in 1992 resulted...

Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network.

Identification of the significant factors of traffic crashes has been a primary concern of the trans...

Pathologic Outcomes of Candidates for Active Surveillance Undergoing Radical Prostatectomy: Results from a Contemporary Turkish Patient Cohort.

INTRODUCTION: To evaluate the pathological outcomes of Turkish men meeting the criteria for Active S...

Avian influenza overview September - November 2017.

Between 1 September and 15 November 2017, 48 A(H5N8) highly pathogenic avian influenza (HPAI) outbre...

[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, p...

Big Data in Public Health: Terminology, Machine Learning, and Privacy.

The digital world is generating data at a staggering and still increasing rate. While these "big dat...

Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.

This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, ...

E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends.

BACKGROUND: As e-cigarette use rapidly increases in popularity, data from online social systems (Twi...

Deep Gramulator: Improving Precision in the Classification of Personal Health-Experience Tweets with Deep Learning.

Health surveillance is an important task to track the happenings related to human health, and one of...

Evaluating Automatic Methods to Extract Patients' Supplement Use from Clinical Reports.

The widespread prevalence of dietary supplements has drawn extensive attention due to the safety and...

Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

This work is the first to take advantage of recurrent neural networks to predict influenza-like illn...

Spatiotemporal Bayesian networks for malaria prediction.

Targeted intervention and resource allocation are essential for effective malaria control, particula...

Critical dynamics in population vaccinating behavior.

Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay globa...

Characterizing Autoimmune Disease-associated Diffuse Large B-cell Lymphoma in a SEER-Medicare Cohort.

BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a...

Evaluation of fingerprinting techniques to assess genotype variation among Zygosaccharomyces strains.

Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations...

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