Pulmonology

Pneumonia

Latest AI and machine learning research in pneumonia for healthcare professionals.

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Multimodal hybrid reasoning methodology for personalized wellbeing services.

A wellness system provides wellbeing recommendations to support experts in promoting a healthier lif...

Clinical course of H1N1-vaccine-related narcolepsy.

OBJECTIVE: To follow and analyze the clinical course and quality of life of Pandemrix H1N1-vaccine-r...

Persistence of Anti-HBs Among Palestinian Medical Students After 18 - 22 Years of Vaccination: A Cross-Sectional Study.

BACKGROUND: Hepatitis B infection is a global public health problem affecting various sectors in the...

Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place...

Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?

BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone o...

Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Past research has assessed the association of single community characteristics with obesity, ignorin...

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text.

BACKGROUND: The prevalence and value of patient-generated health text are increasing, but processing...

Moving the mountain: analysis of the effort required to transform comparative anatomy into computable anatomy.

The diverse phenotypes of living organisms have been described for centuries, and though they may be...

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset.

For years, we have relied on population surveys to keep track of regional public health statistics, ...

Community challenges in biomedical text mining over 10 years: success, failure and the future.

One effective way to improve the state of the art is through competitions. Following the success of ...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

A stochastic model for detecting overlapping and hierarchical community structure.

Community detection is a fundamental problem in the analysis of complex networks. Recently, many res...

Ontology application and use at the ENCODE DCC.

The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a cat...

Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks.

Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorph...

Merging and scoring molecular interactions utilising existing community standards: tools, use-cases and a case study.

The evidence that two molecules interact in a living cell is often inferred from multiple different ...

Gene Ontology Consortium: going forward.

The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource tha...

Artificial neural network and falls in community-dwellers: a new approach to identify the risk of recurrent falling?

BACKGROUND: Identification of the risk of recurrent falls is complex in older adults. The aim of thi...

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.

The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database ex...

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