Infectious Disease

Swine Flu

Latest AI and machine learning research in swine flu for healthcare professionals.

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Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning.

OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-...

Automatic detection of COVID-19 from chest radiographs using deep learning.

INTRODUCTION: The breakdown of a deadly infectious disease caused by a newly discovered coronavirus ...

Comparing machine learning with case-control models to identify confirmed dengue cases.

In recent decades, the global incidence of dengue has increased. Affected countries have responded w...

Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine.

IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adole...

An Interpretable Predictive Model of Vaccine Utilization for Tanzania.

Providing accurate utilization forecasts is key to maintaining optimal vaccine stocks in any health ...

Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.

COVID-19 presents an urgent global challenge because of its contagious nature, frequently changing c...

2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases.

COVID-19 is an emerging disease with transmissibility and severity. So far, there are no effective t...

Development of a prognostic model for mortality in COVID-19 infection using machine learning.

Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection with severe acute re...

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life.

In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to bre...

A Novel Strategy for the Development of Vaccines for SARS-CoV-2 (COVID-19) and Other Viruses Using AI and Viral Shell Disorder.

A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials...

Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.

With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and c...

Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics.

An epidemic caused by COVID-19 in China turned into pandemic within a short duration affecting count...

Successful Treatment of Allergic Bronchopulmonary Aspergillosis Using a Combination of Inhaled Fluticasone Furoate/Vilanterol and Oral Voriconazole.

Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.

BACKGROUND: Prompt identification of patients suspected to have COVID-19 is crucial for disease cont...

Convolutional Neural Network Based Approach to in Silico Non-Anticipating Prediction of Antigenic Distance for Influenza Virus.

Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly i...

Pandemic number five - Latest insights into the COVID-19 crisis.

About nine months after the emergence of SARS-CoV-2, this special issue of the Biomedical Journal ta...

ANTIPROLIFERATIVE PROPERTIES OF ETHANOLIC AND AQUEOUS GRAVIOLA LEAF EXTRACTS ON TONGUE SQUAMOUS CELL CARCINOMA CELL LINE-25.

BACKGROUND: commonly known as Graviola, soursop or guanabana, is an evergreen tree native to the tr...

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