Infectious Disease

Public Health

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

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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...

A systematic review of data mining and machine learning for air pollution epidemiology.

BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasi...

An ultrasensitive electrochemical immunosensor for Cry1Ab based on phage displayed peptides.

The rapid and widespread adoption of Bacillus thuringiensis (Bt) proteins in genetically modified (G...

An outbreak of classical swine fever in pigs in Bangladesh, 2015.

In a group of 22 healthy pigs aged between 4 and 6 months, 2 pigs became ill with high fever, comple...

A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the devel...

Graph-based representation of behavior in detection and prediction of daily living activities.

Various surveillance systems capture signs of human activities of daily living (ADLs) and store mult...

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

BACKGROUND: Automated disease code classification using free-text medical information is important f...

Poor vitamin D status increases the risk of anemia in school children: National Food and Nutrition Surveillance.

OBJECTIVES: This study aimed to investigate the association between 25-hydroxyvitamin D (25[OH]D) co...

Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immun...

Escape and surveillance asymmetries in locusts exposed to a Guinea fowl-mimicking robot predator.

Escape and surveillance responses to predators are lateralized in several vertebrate species. Howeve...

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Outcomes for cancer patients have been previously estimated by applying various machine learning tec...

Survivability prediction of colon cancer patients using neural networks.

We utilize deep neural networks to develop prediction models for patient survival and conditional su...

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...

Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to cont...

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) i...

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

Face attribute estimation has many potential applications in video surveillance, face retrieval, and...

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 g...

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