Public Health

Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in the U.S. Pacific Northwest (PNW). Apothecia develop from mummified berries overwintering on soil surfaces and produce ascospores that infect tissue emerging from floral and vegetative buds. Disease control currently relies on fungicides applied on a calendar basis rather than inoculum availability....

Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks.

From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) in Korea. MERS is caused by MERS-CoV, an enveloped, positive-sense, single-stranded RNA virus belonging to the family Coronaviridae. Despite expert opinions that the danger of MERS might be exaggerated, there was an overreaction by the public according to the Korean mass media, which led to a noticea...

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been...

Identification of immune correlates of protection in Shigella infection by application of machine learning.

BACKGROUND: Immunologic correlates of protection are important in vaccine development because they give insight into mechanisms of protection, assist ...

Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance.

OBJECTIVE: Active surveillance (AS) offers a strategy to reduce overtreatment and now is a widely accepted treatment option for low-risk prostate canc...

Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India.

BACKGROUND: There are limited data on the use of artificial intelligence methods for the diagnosis of dementia in epidemiological studies in low- and ...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved...

Long-term survival after surveillance and treatment in patients with chronic viral hepatitis and hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatitis (CVH). We determined the impact of surveillance...

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) tool for extracting clinical findings of influenz...

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 from the avian population to cause severe outbreaks i...

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.

Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combinati...

Endomicroscopy for Computer and Robot Assisted Intervention.

Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, circumventing the need for conventional biopsy and...

Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal species. However, with extensive E. coli vaccine r...

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.

BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based approaches will help us understand the reasons behi...

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial...

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 efficiency by providing governments and healthcare...

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 with funding from the Defense Threat Reduction Agen...

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 (qPCR) in lymph node aspirates is an accurate tool for...

Development of an IgY Antibody-Based Immunoassay for the Screening of the CYP2E1 Inhibitor/Enhancer from Herbal Medicines.

Cytochrome P450 (CYP) 2E1 is an important enzyme involved in the metabolism of many endogenous and exogenous compounds. It is essential to evaluate th...

An inactivated influenza D virus vaccine partially protects cattle from respiratory disease caused by homologous challenge.

Originally isolated from swine, the proposed influenza D virus has since been shown to be common in cattle. Inoculation of IDV to naïve calves resulte...