AIMC Topic: Pulmonary Disease, Chronic Obstructive

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The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.

Respiratory medicine Jul 7, 2021
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions that are challenging to diagnose and treat. As the presence of comorbidities often exacerbates this scenario, the characterization of patients with C...
Phenotype Retrospective Studies Female Aged Humans Machine Learning Disease Progression Prevalence Comorbidity Cluster Analysis Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male Cardiovascular Diseases
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Artificial intelligence-powered remote monitoring of patients with chronic obstructive pulmonary disease.

Chinese medical journal Jun 16, 2021
Artificial Intelligence Pulmonary Disease, Chronic Obstructive Humans
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Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.

International journal of medical sciences Jun 1, 2021
Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and show high prevalence, especially in developing countries. Among them, asthma and chronic obstructive pulmonary disease (COPD) show the highest morbidity...
Humans Machine Learning Clinical Decision-Making Pulmonary Disease, Chronic Obstructive Asthma Models, Biological Data Mining
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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

Pulmonary medicine May 31, 2021
OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identif...
Exercise Test Heart Failure Respiratory Function Tests Aged Adult Humans Middle Aged Pulmonary Disease, Chronic Obstructive Machine Learning Support Vector Machine Male Retrospective Studies Chronic Disease Female Predictive Value of Tests
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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study.

JMIR mHealth and uHealth May 6, 2021
BACKGROUND: The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstr...
Female Humans Wearable Electronic Devices Pulmonary Disease, Chronic Obstructive Machine Learning Cohort Studies Quality of Life Prospective Studies Taiwan Deep Learning Pregnancy
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Colorectal Neoplasms Male Middle Aged Comorbidity Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Asthma Area Under Curve Laparoscopy Myocardial Infarction Netherlands Length of Stay Logistic Models Hypertension Support Vector Machine Humans Machine Learning Intensive Care Units Female Risk Factors Patient Readmission Colectomy Multivariate Analysis Mortality
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Improving clinical disease subtyping and future events prediction through a chest CT-based deep learning approach.

Medical physics Jan 27, 2021
PURPOSE: To develop and evaluate a deep learning (DL) approach to extract rich information from high-resolution computed tomography (HRCT) of patients with chronic obstructive pulmonary disease (COPD).
Deep Learning Predictive Value of Tests Pulmonary Emphysema Humans Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Severity of Illness Index
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Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data.

International journal of chronic obstructive pulmonary disease Jan 5, 2021
BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is often underdiagnosed.
Vital Capacity Pulmonary Disease, Chronic Obstructive Male Humans Lung Retrospective Studies Deep Learning Female
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Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Dec 21, 2020
PURPOSE: The main objective of this study was to utilize an artificial neural network in an exploratory fashion to predict self-management behaviors based on reported symptoms in a sample of stable patients with chronic obstructive pulmonary disease ...
Self-Management Male Neural Networks, Computer Middle Aged Symptom Assessment Predictive Value of Tests Humans Female Aged Pulmonary Disease, Chronic Obstructive
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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Mortality Preoperative Care Laminectomy Body Mass Index Bayes Theorem Humans Ascites Aged Machine Learning Spinal Neoplasms Risk Assessment Hypoalbuminemia Pulmonary Disease, Chronic Obstructive Dyspnea Multivariate Analysis Respiration, Artificial Female Male Blood Coagulation Disorders Odds Ratio Weight Loss Middle Aged Serum Albumin Hypertension Smoking Metastasectomy
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