Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta …
Background Machine learning and deep learning models have been increasingly used to
predict long-term disease progression in patients with chronic obstructive pulmonary …
predict long-term disease progression in patients with chronic obstructive pulmonary …
A tutorial-based survey on feature selection: Recent advancements on feature selection
A Moslemi - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Curse of dimensionality is known as big challenges in data mining, pattern recognition,
computer vison and machine learning in recent years. Feature selection and feature …
computer vison and machine learning in recent years. Feature selection and feature …
Unsupervised feature selection using sparse manifold learning: Auto-encoder approach
A Moslemi, M Jamshidi - Information Processing & Management, 2025 - Elsevier
Feature selection techniques are widely being used as a preprocessing step to train
machine learning algorithms to circumvent the curse of dimensionality, overfitting, and …
machine learning algorithms to circumvent the curse of dimensionality, overfitting, and …
Comparison of feature selection methods and machine learning classifiers for predicting chronic obstructive pulmonary disease using texture-based CT lung radiomic …
Rationale Texture-based radiomics analysis of lung computed tomography (CT) images has
been shown to predict chronic obstructive pulmonary disease (COPD) status using machine …
been shown to predict chronic obstructive pulmonary disease (COPD) status using machine …
Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection
Gene selection as a problem with high dimensions has drawn considerable attention in
machine learning and computational biology over the past decade. In the field of gene …
machine learning and computational biology over the past decade. In the field of gene …
Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology
Chronic obstructive pulmonary disease (COPD) is a complex and multi-component
respiratory disease. Computed tomography (CT) images can characterize lesions in COPD …
respiratory disease. Computed tomography (CT) images can characterize lesions in COPD …
Machine learning for prediction of cardiovascular disease and respiratory disease: a review
Cardiovascular (CVD) and respiratory diseases (RD) have been in the active domain for
machine learning (ML) researchers as these diseases significantly contribute to mortality in …
machine learning (ML) researchers as these diseases significantly contribute to mortality in …
Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements
W Zhang, Y Zhao, Y Tian, X Liang… - International Journal of …, 2023 - Taylor & Francis
Purpose Quantitative computed tomography (QCT) techniques, focusing on airway anatomy
and emphysema, may help to detect early structural changes of COPD disease. This …
and emphysema, may help to detect early structural changes of COPD disease. This …
Are CT-based exacerbation prediction models ready for use in chronic obstructive pulmonary disease?
K Makimoto, M Kirby - The Lancet Digital Health, 2023 - thelancet.com
Quantitative CT imaging extracts information that reflects the severity, degree of change, or
status of a disease. 1 There is growing interest, and scientific evidence, for the use of …
status of a disease. 1 There is growing interest, and scientific evidence, for the use of …
[HTML][HTML] Classifying Future Healthcare Utilization in COPD Using Quantitative CT Lung Imaging and Two-Step Feature Selection via Sparse Subspace Learning with …
Rationale Although numerous candidate features exist for predicting risk of higher risk of
healthcare utilization in patients with chronic obstructive pulmonary disease (COPD), the …
healthcare utilization in patients with chronic obstructive pulmonary disease (COPD), the …