Pulmonology

Pneumonia

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

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Adaptive Learning Emotion Identification Method of Short Texts for Online Medical Knowledge Sharing Community.

The medical knowledge sharing community provides users with an open platform for accessing medical r...

A neural network model predicts community-level signaling states in a diverse microbial community.

Signal crosstalk within biological communication networks is common, and such crosstalk can have une...

Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Machine learning holds considerable promise for understanding complex biological processes such as v...

Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology.

BACKGROUND: Although vaccination rates are above the threshold for herd immunity in South Korea, a g...

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.

BACKGROUND AND OBJECTIVE: Chest X-ray (CXR) is one of the most used imaging techniques for detection...

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...

Tackling the Radiological Society of North America Pneumonia Detection Challenge.

We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiolo...

An open access medical knowledge base for community driven diagnostic decision support system development.

INTRODUCTION: While early diagnostic decision support systems were built around knowledge bases, mor...

Likelihood-Based Methods for Assessing Principal Surrogate Endpoints in Vaccine Trials.

When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes ...

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization.

Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-c...

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...

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare.

This study proposes a convolutional neural network model trained from scratch to classify and detect...

Reliability and acceptability of using a social robot to carry out cognitive tests for community-dwelling older adults.

AIM: To improve access to cognitive testing for older adults, the reliability and acceptability of a...

Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hind...

Prediction of future cognitive impairment among the community elderly: A machine-learning based approach.

The early detection of cognitive impairment is a key issue among the elderly. Although neuroimaging,...

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical pop...

Low Abundances but High Growth Rates of Coastal Heterotrophic Bacteria in the Red Sea.

Characterized by some of the highest naturally occurring sea surface temperatures, the Red Sea remai...

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