Pulmonology

COPD

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

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Showing 421-441 of 4,163 articles
SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.

Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation, and manageme...

Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning.

Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that ar...

Polyelectrolyte-Coated Gold Nanoparticles: The Effect of Salt and Polyelectrolyte Concentration on Colloidal Stability.

Gold nanoparticles are widely used in biomedical applications. Their ease of surface modification, b...

A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...

Pulmonary Function Testing in Elderly Patients Treated for a Myasthenia Gravis Exacerbation.

BACKGROUND AND PURPOSE: Pulmonary function testing is a standard part of care for patients admitted ...

Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a ...

Molecular prevalence of parvovirus B19 among HIV1-infected patients in Iran.

Different outcomes of parvovirus B19 (B19V) infection in immunocompromised patients, including HIV1...

A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography.

OBJECTIVES:: The distal root of the mandibular first molar occasionally has an extra root, which can...

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.

We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evalu...

Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.

BACKGROUND: Telemonitoring of symptoms and physiological signs has been suggested as a means of earl...

Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

We studied how lagged linear regression can be used to detect the physiologic effects of drugs from ...

Small airway segmentation in thoracic computed tomography scans: a machine learning approach.

Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propos...

Automatic extraction of gene-disease associations from literature using joint ensemble learning.

A wealth of knowledge concerning relations between genes and its associated diseases is present in b...

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Ma...

Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.

Computational drug repositioning has been proven as a promising and efficient strategy for discoveri...

Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial.

BACKGROUND: Socially assistive robots are being developed for patients to help manage chronic health...

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical co...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

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