Flu & URI

MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune...

Weekly ILI patient ratio change prediction using news articles with support vector machine.

BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason,...

Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...

Regional level influenza study based on Twitter and machine learning method.

The significance of flu prediction is that the appropriate preventive and control measures can be ta...

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery.

Wild birds are monitored with the important objectives of identifying their habitats and estimating ...

Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach.

BACKGROUND: Chronic respiratory symptoms involving bronchitis, cough and phlegm in children are unde...

Chief complaint classification with recurrent neural networks.

Syndromic surveillance detects and monitors individual and population health indicators through sour...

A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations.

BACKGROUND: The amount of medical and clinical-related information on the Web is increasing. Among t...

The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining.

BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, i...

PADI-web corpus: Labeled textual data in animal health domain.

Monitoring animal health worldwide, especially the early detection of outbreaks of emerging pathogen...

A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features.

UNLABELLED: Cough is a protective reflex conveying information on the state of the respiratory syste...

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure.

Optical super-resolution microscopy techniques enable high molecular specificity with high spatial r...

Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.

OBJECTIVES: To apply a deep-learning system for diagnosis of maxillary sinusitis on panoramic radiog...

Demographic, Clinical, and Allergic Characteristics of Children with Eosinophilic Esophagitis in Isfahan, Iran.

Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food a...

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in a...

Immunogenicity of Concentrated and Purified Inactivated Avian Influenza Vaccine Formulation.

Avian influenza (AI) H9N2 is a low pathogenic virus subtype belonging to Orthomyxoviridae family. Gi...

Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.

Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action a...

Combination Therapy of Clinically Approved Antifungal Drugs Is Enhanced by Conjugation with Silver Nanoparticles.

Silver nanoparticles (SN) have been recently developed as a new class of antimicrobial agents agains...

An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

For many disease-causing virus species, global diversity is clustered into a taxonomy of subtypes wi...