Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease by Tong Feng, PeiPei Li, Ran Duan, Zhi Jin

Subjects: “…Chronic Obstructive Pulmonary Disease (COPD)…”
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Differentiating Emphysema From Emphysema-Dominated COPD Patients with CT Imaging Feature and Machine Learning by Guo W, Li M, Li Y, Fan X, Wu L

“…These findings may contribute to improved diagnosis, phenotyping, and management strategies in emphysema and COPD.Keywords: quantitative computed tomography, emphysema, emphysema-dominant COPD, chronic obstructive pulmonary disease, computed tomography…”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…Abstract Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous disease with a variety of symptoms including, persistent coughing and mucus production, shortness of breath, wheezing, and chest tightness. …”
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Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study by Eun-Tae Jeon, Heemoon Park, Jung-Kyu Lee, Eun Young Heo, Chang Hoon Lee, Deog Kyeom Kim, Dong Hyun Kim, Hyun Woo Lee

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Relationships between vitamin C intake and COPD assessed by machine learning approaches from the NHANES (2017–2023) by Xinxin Tao, Xianwei Ye, Xianwei Ye

“…Variance Inflation Factor (VIF) eliminated highly collinear variables. Machine learning methods (LASSO, Random Forest, and XGBoost) screened variables. …”
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Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

Subjects: “…chronic obstructive pulmonary disease (COPD)…”
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Predicting Superaverage Length of Stay in COPD Patients with Hypercapnic Respiratory Failure Using Machine Learning by Zuo B, Jin L, Sun Z, Hu H, Yin Y, Yang S, Liu Z

Subjects: “…chronic obstructive pulmonary disease…”
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Sleep Apnea Events Recognition Based on Polysomnographic Recordings: A Large-Scale Multi-Channel Machine Learning approach by Nicolo La Porta, Stefano Scafa, Michela Papandrea, Filippo Molinari, Alessandro Puiatti

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Development of a deep learning model to predict smoking status in patients with chronic obstructive pulmonary disease: A secondary analysis of cross-sectional national survey by Sudarshan Pant, Hyung Jeong Yang, Sehyun Cho, EuiJeong Ryu, Ja Yun Choi

“…Objective This study aims to develop and validate a deep learning model to predict smoking status in patients with chronic obstructive pulmonary disease (COPD) using data from a national survey. …”
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An integrated machine learning model of transcriptomic genes in multi-center chronic obstructive pulmonary disease reveals the causal role of TIMP4 in airway epithelial cell by Erkang Yi, Haiqing Li, Yu Liu, Qingyang Li, Chengshu Xie, Ruining Sun, Fan Wu, Zhishan Deng, Kunning Zhou, Hairong Wang, Xinru Ran, Yumin Zhou, Pixin Ran

Subjects: “…Chronic obstructive pulmonary disease…”
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Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach by Li X, Xiao Y, Yang M, Zhang X, Yuan Z, Zhang Z, Zhang H, Liu L, Zhao M

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Association of early enoxaparin prophylactic anticoagulation with ICU mortality in critically ill patients with chronic obstructive pulmonary disease: a machine learning-based retrospective cohort study by Shan Lin, Jing Zhang, Xin Dang, Qingyuan Zhan

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Bioinformatic Insights and XGBoost Identify Shared Genetics in Chronic Obstructive Pulmonary Disease and Type 2 Diabetes by Qianqian Ji, Yaxian Meng, Xiaojie Han, Chao Yi, Xiaoliang Chen, Yiqiang Zhan

Subjects: “…chronic obstructive pulmonary disease…”
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Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review by Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang, Qing Qian

Subjects: “…Chronic obstructive pulmonary disease…”
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Airway-microbiome-driven mechanisms of disease during optimised self-management: a lesson learned from mechanistic study of the Colour-COPD trial by Alice M Turner, Daniella Spittle, Karl Staples, David Cleary

“…Conclusion Although we are not able to address our objectives of describing the airway microbiome in a primary care chronic obstructive pulmonary disease population, and describing the relationship between antibiotic consumption and changes in airway microbiome during the term of the award, we were able to learn lessons about matching mechanistic work to trials. …”
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Teaching Machines on Snoring: A Benchmark on Computer Audition for Snore Sound Excitation Localisation by Kun QIAN, Christoph JANOTT, Zixing ZHANG, Jun DENG, Alice BAIRD, Clemens HEISER, Winfried HOHENHORST, Michael HERZOG, Werner HEMMERT, Björn SCHULLER

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Impact of surgical volume and resident involvement on patency rates after vasectomy reversal—A 14-year experience in an open access system by Alexandria M. Hertz, Andrew W. Stamm, Mark I. Anderson, Karen C. Baker

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The Role of Autophagy and Cell Communication in COPD Progression: Insights from Bioinformatics and scRNA-seq by Kaiqi Ren, Lu Zou, Jingjing Yang, Yuxiu Wang, Lingfeng Min

Subjects: “…Chronic obstructive pulmonary disease…”
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Electrophysiological assessment of the effects of obstructive sleep apnea on cognition. by Ethem Gelir, Cenk Başaran, Sibel Bayrak, Süha Yağcıoğlu, Murat Timur Budak, Hikmet Fırat, Pekcan Ungan

“…We used electrophysiological measures to investigate the effects of obstructive sleep apnea on attention, learning, and memory. …”
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Correction: Association of early enoxaparin prophylactic anticoagulation with ICU mortality in critically ill patients with chronic obstructive pulmonary disease: a machine learning-based retrospective cohort study by Shan Lin, Jing Zhang, Xin Dang, Qingyuan Zhan

Subjects: Get full text