AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China.

Health informatics journal Nov 11, 2019
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD) patients is important for addressing the economic burden of COPD. The objectives of this study were to use machine learning approaches to identify an...
Pulmonary Disease, Chronic Obstructive China ROC Curve Logistic Models Humans Machine Learning
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Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

COPD Nov 11, 2019
While machine learning approaches can enhance prediction ability, little is known about their ability to predict 30-day readmission after hospitalization for Chronic Obstructive Pulmonary Disease (COPD). We identified patients aged ≥40 years with unp...
Machine Learning Databases, Factual Prognosis Female Hospitalization Middle Aged Humans Risk Assessment Aged Logistic Models Japan Aged, 80 and over Adult Patient Readmission Pulmonary Disease, Chronic Obstructive Clinical Decision Rules Male
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Machine Learning Reveals the Texture of Regional Lung Ventilation at CT.

Radiology Oct 22, 2019
Humans Machine Learning Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Pulmonary Ventilation
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Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Radiology Oct 22, 2019
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and parenchymal measurements but cannot be used to directly determine lung funct...
Adult Prospective Studies Longitudinal Studies Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Humans Magnetic Resonance Imaging Female Male Machine Learning Pulmonary Ventilation Aged Middle Aged Aged, 80 and over Support Vector Machine
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Cigarette Smoking Alkaline Phosphatase Hematocrit Dyspnea Sex Factors Electrocardiography Longitudinal Studies Age Factors Cough Forced Expiratory Volume Leukocyte Count Vital Capacity Bronchodilator Agents Serum Globulins Body Height Alcohol Drinking Spirometry Triglycerides Serum Albumin Algorithms Female Adult Pulmonary Disease, Chronic Obstructive Male Aging Middle Aged Risk Assessment Lung Cohort Studies Humans Machine Learning
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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...
Imaging, Three-Dimensional Supervised Machine Learning Emphysema Algorithms Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Lung Deep Learning Humans
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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 Algorithms Prospective Studies Retrospective Studies Female Reproducibility of Results Aged Young Adult Adult Solitary Pulmonary Nodule Tuberculosis, Pulmonary Healthy Volunteers Smoking Respiration Protons Xenon Isotopes Signal-To-Noise Ratio Bronchiectasis Deep Learning Pulmonary Disease, Chronic Obstructive Fourier Analysis Imaging, Three-Dimensional Asthma Image Processing, Computer-Assisted Male Inflammation Middle Aged Magnetic Resonance Imaging Lung
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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...
Respiratory Sounds Logistic Models Support Vector Machine Forced Expiratory Volume Spirometry Vital Capacity Female Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Male Risk Assessment Humans Machine Learning Algorithms
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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 ...
Machine Learning Female Hospitalization Aged Pulmonary Disease, Chronic Obstructive Male Humans Bayes Theorem Middle Aged Cost of Illness Risk Assessment Disease Progression Support Vector Machine
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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...
Sex Factors Patient Readmission Survival Analysis Proportional Hazards Models Aged, 80 and over Electronic Health Records Pulmonary Disease, Chronic Obstructive Female Male Humans Risk Factors Time Factors Middle Aged Hospitalization Machine Learning ROC Curve Severity of Illness Index Biomarkers Aged Canada Prognosis Age Factors Retrospective Studies Predictive Value of Tests
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