AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.

Journal of evaluation in clinical practice Dec 12, 2017
RATIONALE, AIMS AND OBJECTIVES: A common approach to assessing treatment effects in nonrandomized studies with time-to-event outcomes is to estimate propensity scores and compute weights using logistic regression, test for covariate balance, and then...
Socioeconomic Factors Age Factors Models, Statistical Decision Trees Male Middle Aged Comorbidity Time Factors Humans Machine Learning Female Pulmonary Disease, Chronic Obstructive Health Services Survival Analysis Heart Failure Proportional Hazards Models Sex Factors Propensity Score Patient Readmission Monte Carlo Method
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A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

PloS one Nov 22, 2017
COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision support tools. In this study, we present a machine learning-based strategy for early detection of exacer...
Statistics as Topic Pulmonary Disease, Chronic Obstructive Disease Progression Consensus Triage Physicians Clinical Decision-Making Reproducibility of Results Humans Machine Learning Algorithms
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Journal of breath research Aug 21, 2017
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis...
Humans Female Aged Adult Healthy Volunteers Breath Tests Exhalation Case-Control Studies Electronic Nose Pulmonary Disease, Chronic Obstructive Lung Neoplasms Male Support Vector Machine Middle Aged Neoplasm Staging
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Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.

Health informatics journal Aug 18, 2017
This study examines the clinical decision support systems in healthcare, in particular about the prevention, diagnosis and treatment of respiratory diseases, such as Asthma and chronic obstructive pulmonary disease. The empirical pulmonology study of...
Asthma Male Middle Aged Infant Aged Aged, 80 and over Adult Pulmonary Disease, Chronic Obstructive Adolescent Child, Preschool Child Respiratory Function Tests Humans Machine Learning Female
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Deep learning poised to revolutionise diagnostic imaging.

The Lancet. Respiratory medicine Jul 19, 2017
Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Diagnostic Imaging Lung Diseases Humans Image Interpretation, Computer-Assisted Machine Learning Tomography, X-Ray Computed
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Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

IEEE journal of biomedical and health informatics Apr 26, 2017
Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding of hospital emergency departments (EDs) due to respiratory diseases...
Medical Informatics Emergency Service, Hospital Air Pollutants Weather Humans Neural Networks, Computer Pulmonary Disease, Chronic Obstructive Asthma Chronic Disease
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The attractor recurrent neural network based on fuzzy functions: An effective model for the classification of lung abnormalities.

Computers in biology and medicine Mar 23, 2017
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the c...
Humans Neural Networks, Computer Young Adult Adult Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Middle Aged Fuzzy Logic Signal Processing, Computer-Assisted Respiratory Sounds
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A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

IEEE journal of biomedical and health informatics Mar 17, 2017
With the passage of recent federal legislation, many medical institutions are now responsible for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and chronic obstructive pulmonary disease has been r...
Area Under Curve Patient Readmission Medical Informatics Algorithms Pulmonary Disease, Chronic Obstructive Decision Support Systems, Clinical Humans Natural Language Processing
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Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.

IEEE journal of biomedical and health informatics Dec 21, 2016
This study aims to develop an automatic classifier based on deep learning for exacerbation frequency in patients with chronic obstructive pulmonary disease (COPD). A three-layer deep belief network (DBN) with two hidden layers and one visible layer w...
Humans Algorithms Pulmonary Disease, Chronic Obstructive Support Vector Machine Sensitivity and Specificity Disease Progression Deep Learning Cohort Studies
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A randomised, phase III trial of once-daily fluticasone furoate/vilanterol 100/25 μg versus once-daily vilanterol 25 μg to evaluate the contribution on lung function of fluticasone furoate in the combination in patients with COPD.

Respiratory medicine Dec 2, 2016
BACKGROUND: The contribution of fluticasone furoate (FF) on lung function in the FF/vilanterol (VI) 100/25 μg combination has been demonstrated numerically, but not statistically.
Chlorobenzenes Androstadienes Adrenergic beta-2 Receptor Agonists Benzyl Alcohols Glucocorticoids Quality of Life Forced Expiratory Volume Adult Humans Drug Combinations Drug Administration Schedule Pulmonary Disease, Chronic Obstructive Female Double-Blind Method Kaplan-Meier Estimate Male Aged Middle Aged Administration, Inhalation
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