Public Health

Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in...

Automated video surveillance and machine learning: Leveraging existing infrastructure for cardiac arrest detection and emergency response activation.

Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

The adaptive immune system recognizes antigens an immense array of antigen-binding antibodies and T...

A review of influenza detection and prediction through social networking sites.

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Now...

Cockcroft-Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations for estimating glomerular filtration rates in cancer patients receiving cisplatin-based chemotherapy.

BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has be...

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...

Randomized clinical trial of a single versus a double dose of 13-valent pneumococcal conjugate vaccine in adults 55 through 74 years of age previously vaccinated with 23-valent pneumococcal polysaccharide vaccine.

INTRODUCTION: In older adults, prior administration of 23-valent pneumococcal polysaccharide vaccine...

Immunologic non-inferiority and safety of the investigational pneumococcal non-typeable Haemophilus influenzae protein D-conjugate vaccine (PHiD-CV) 4-dose vial presentation compared to the licensed PHiD-CV 1-dose vial presentation in infants: A phase III randomized study.

BACKGROUND: To support vaccination programs in developing countries, a 4-dose vial presentation of p...

In vitro activity of eravacycline against 2213 Gram-negative and 2424 Gram-positive bacterial pathogens isolated in Canadian hospital laboratories: CANWARD surveillance study 2014-2015.

Gram-negative (n=2213) and Gram-positive (n=2424) pathogens isolated from patients in 13 Canadian ho...

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...

Purification of influenza virus-like particles using sulfated cellulose membrane adsorbers.

BACKGROUND: Vaccines based on virus-like particles (VLPs) are an alternative to inactivated viral va...

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...