AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices.

Scientific reports Nov 12, 2020
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions of people worldwide. Implementation of Machine Learning (ML) techniques is crucial for the effective management of COPD in home-care environments. How...
Pulmonary Disease, Chronic Obstructive Male Case-Control Studies Healthy Volunteers Information Storage and Retrieval Saliva Electronics Humans Neural Networks, Computer Machine Learning Female
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A Model Using Support Vector Machines Recursive Feature Elimination (SVM-RFE) Algorithm to Classify Whether COPD Patients Have Been Continuously Managed According to GOLD Guidelines.

International journal of chronic obstructive pulmonary disease Nov 4, 2020
PURPOSE: Patients with chronic obstructive pulmonary disease (COPD) would have a poor prognosis if they were not continuously managed according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. We aim to develop a model...
Humans Pulmonary Disease, Chronic Obstructive Support Vector Machine Algorithms Prospective Studies Retrospective Studies
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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.

Journal of clinical laboratory analysis Nov 3, 2020
OBJECTIVE: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD.
Female Aged Pulmonary Disease, Chronic Obstructive Male Humans Artificial Intelligence Biomarkers Support Vector Machine Metabolomics Least-Squares Analysis Magnetic Resonance Spectroscopy Middle Aged Case-Control Studies Diagnosis, Computer-Assisted
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Middle Aged Comorbidity Severity of Illness Index Deep Learning Aged Pulmonary Disease, Chronic Obstructive Male Italy Neurodegenerative Diseases Coronary Artery Disease Sex Factors Age Factors Radiography Emergency Service, Hospital Prognosis Humans Retrospective Studies Artificial Intelligence Tomography, X-Ray Computed COVID-19 SARS-CoV-2 Hospitalization Intensive Care Units Female Proportional Hazards Models Radiography, Thoracic Mortality
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COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda.

Respiratory medicine Jul 28, 2020
Chronic Obstructive Pulmonary Disease (COPD) is a highly heterogeneous condition projected to become the third leading cause of death worldwide by 2030. To better characterize this condition, clinicians have classified patients sharing certain sympto...
Pulmonary Disease, Chronic Obstructive Comorbidity Genomics Cluster Analysis Algorithms Phenotype Biomarkers Research Humans Machine Learning
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DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images.

Physics in medicine and biology Jul 22, 2020
While many pre-defined computed tomographic (CT) measures have been utilized to characterize chronic obstructive pulmonary disease (COPD), it is still challenging to represent pathological alternations of multiple dimensions and highly spatial hetero...
Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis Pulmonary Disease, Chronic Obstructive Deep Learning Humans Tomography, X-Ray Computed
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Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease.

JCI insight Jul 9, 2020
BACKGROUNDCurrently recommended traditional spirometry outputs do not reflect the relative contributions of emphysema and airway disease to airflow obstruction. We hypothesized that machine-learning algorithms can be trained on spirometry data to ide...
Neural Networks, Computer Female Humans Smoking Respiratory Function Tests Spirometry Male Lung Aged Middle Aged Pulmonary Emphysema Adult Pulmonary Disease, Chronic Obstructive
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User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study.

Journal of medical Internet research Jun 15, 2020
BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstructive pulmonary disease (COPD) to reduce the impact of COPD exacerbations. Using mobile health (mHealth) to support exacerbation-related self-manageme...
Mobile Applications Humans Telemedicine Pulmonary Disease, Chronic Obstructive Self-Management
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Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.

BMC bioinformatics Jun 5, 2020
BACKGROUND: Inferring diseases related to the patient's electronic medical records (EMRs) is of great significance for assisting doctor diagnosis. Several recent prediction methods have shown that deep learning-based methods can learn the deep and co...
Diabetes Mellitus Electronic Health Records Humans China Pulmonary Disease, Chronic Obstructive Hypertension Neural Networks, Computer Software
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Machine Learning and Prediction of All-Cause Mortality in COPD.

Chest Apr 27, 2020
BACKGROUND: COPD is a leading cause of mortality.
Middle Aged Predictive Value of Tests Cause of Death Humans Respiratory Function Tests Machine Learning Female Pulmonary Disease, Chronic Obstructive Male
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