AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

IEEE transactions on medical imaging Aug 19, 2019
Volumetric imaging is an essential diagnostic tool for medical practitioners. The use of popular techniques such as convolutional neural networks (CNN) for analysis of volumetric images is constrained by the availability of detailed (with local annot...
Lung Deep Learning Imaging, Three-Dimensional Supervised Machine Learning Emphysema Humans Algorithms Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Humans Respiration Signal-To-Noise Ratio Bronchiectasis Asthma Fourier Analysis Male Protons Deep Learning Xenon Isotopes Middle Aged Reproducibility of Results Solitary Pulmonary Nodule Imaging, Three-Dimensional Aged Tuberculosis, Pulmonary Lung Image Processing, Computer-Assisted Young Adult Algorithms Healthy Volunteers Inflammation Adult Prospective Studies Smoking Magnetic Resonance Imaging Retrospective Studies Pulmonary Disease, Chronic Obstructive Female
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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.

Journal of medical systems Jun 28, 2019
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirome...
Humans Machine Learning Algorithms Female Pulmonary Disease, Chronic Obstructive Forced Expiratory Volume Spirometry Vital Capacity Respiratory Sounds Sensitivity and Specificity Male Risk Assessment Logistic Models Support Vector Machine
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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

International journal of medical informatics Apr 4, 2019
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization rates and healthcare spending. The early identification of future high-cost patients with COPD may ...
Disease Progression Support Vector Machine Bayes Theorem Cost of Illness Humans Machine Learning Female Hospitalization Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment
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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Predictive Value of Tests Sex Factors Patient Readmission Electronic Health Records Survival Analysis Female Proportional Hazards Models Risk Factors Time Factors Hospitalization Humans ROC Curve Aged, 80 and over Aged Machine Learning Canada Pulmonary Disease, Chronic Obstructive Biomarkers Age Factors Male Prognosis Middle Aged Retrospective Studies Severity of Illness Index
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Gene fingerprint model for literature based detection of the associations among complex diseases: a case study of COPD.

BMC medical informatics and decision making Jan 31, 2019
BACKGROUND: Disease comorbidity is very common and has significant impact on disease treatment. Revealing the associations among diseases may help to understand the mechanisms of diseases, improve the prevention and treatment of diseases, and support...
Humans Pulmonary Disease, Chronic Obstructive Comorbidity Models, Theoretical PubMed Gene Ontology Knowledge Discovery
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Broadening the Perspective of Cost-Effectiveness Modeling in Chronic Obstructive Pulmonary Disease: A New Patient-Level Simulation Model Suitable to Evaluate Stratified Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Dec 20, 2018
OBJECTIVES: To develop a health economic model that included a great diversity of patient characteristics and outcomes for chronic obstructive pulmonary disease (COPD), which can be used to inform decisions about stratified medicine in COPD.
Male Humans Middle Aged Computer Simulation Cost-Benefit Analysis Female Models, Economic Pulmonary Disease, Chronic Obstructive Quality-Adjusted Life Years
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Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

Respiratory medicine Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
Dyspnea Respiratory Function Tests Multidetector Computed Tomography Humans Pulmonary Disease, Chronic Obstructive Female Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Forced Expiratory Volume
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Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Disease Progression Support Vector Machine Predictive Value of Tests Tidal Volume Airway Resistance Functional Residual Capacity Aged Humans Aged, 80 and over Retrospective Studies Pulmonary Disease, Chronic Obstructive Female Male Middle Aged
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Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.

Scientific reports Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
Machine Learning Statistics, Nonparametric Algorithms Female Adult Pulmonary Disease, Chronic Obstructive Genetic Association Studies Humans Male Cluster Analysis Middle Aged Epithelial Cells Disease Progression Gene Expression Regulation Lung Smokers Case-Control Studies
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