Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

Subjects: “…Machine learning…”
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Development and validation of the machine learning model for acute exacerbation of chronic obstructive pulmonary disease prediction based on inflammatory biomarkers by Ye Zhu, Meng Wang, Xin-Nan Gu, Cen Wang, Su-Min Deng

Subjects: “…chronic obstructive pulmonary disease…”
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Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss by David B Price, Vasilis Nikolaou, Sebastiano Massaro, Wolfgang Garn, Masoud Fakhimi, Lampros Stergioulas

“…Background Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of lung conditions challenging to diagnose and treat. …”
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Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model by Zhang Y, Zhou L, Zhu S, Zhou Y, Wang Z, Ma L, Yuan Y, Xie Y, Niu X, Su Y, Liu H, Hei X, Shi Z, Ren X, Shi Y

Subjects: “…obstructive sleep apnea…”
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A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine by S. Chitra, Tariq Mohammed Alqahtani, Abdulrahman Alduraywish, Mohamed Yacin Sikkandar

Subjects: “…Chronic obstructive pulmonary disease (COPD)…”
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Machine Learning Models for the Noninvasive Diagnosis of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms by Hyungkyung Shin, Kwang Jin Ko, Wei-Jin Park, Deok Hyun Han, Ikjun Yeom, Kyu-Sung Lee

“…Purpose This study aimed to develop and evaluate machine learning models, specifically CatBoost and extreme gradient boosting (XGBoost), for diagnosing lower urinary tract symptoms (LUTS) in male patients. …”
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Identification and experimental validation of biomarkers for chronic obstructive pulmonary disease complicated with pulmonary arterial hypertension based on bioinformatics and machine learning by YANG Yan, TAO Chunrong, ZHU Youjun

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Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach by Siqi Jiang, Lingyu Xu, Xinyuan Wang, Chenyu Li, Chen Guan, Lin Che, Yanfei Wang, Xuefei Shen, Yan Xu

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Screening and Management of Obstructive Sleep Apnea and Daytime Sleepiness Among Professional Drivers in Tunisia: Protocol for a Machine Learning Study by Sameh Msaad, Nesrine Kammoun, Rahma Gargouri, Rim Khemakhem, Amira Triki, Narjes Abid, Sonia Fehri, Kaouthar Kallel, Rim Kammoun, Leila Douik EL Gharbi, Sonia MaalejBellaj, Heni Bouhamed, Ahmed Abdelghani, Chiraz Aichaouia, Mohamed Turki, Samy Kammoun

“… BackgroundObstructive sleep apnea (OSA) is highly prevalent among professional drivers; however, its true burden in this population remains underexplored and likely underdiagnosed. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

Subjects: “…obstructive sleep apnea…”
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A Deep Learning Approach with Stack of Sub-classifiers for Multi-label Classification of Obstructive Disease from Myocardial Perfusion SPECT by Ninh Ngan Trieu, Nhu Hai Phung, Chi Thanh Nguyen, Thanh Trung Nguyen

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Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing by Tianchu Wang, Wentao Yang, Ziteng Xu, Wenwen Qi, Liam Taylor, Ming Wang, Wei Wu

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Gastric Ascariasis Mimicking Rapunzel Syndrome in an Epileptic Patient: Learning Points Galore by Paras Passi, Sumita Kanwar, Swati Chaurasiya, Sumit Vats, Ravinder Kumar, Shalini Singh

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Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data by Yasuhiro Goto, Daisuke Niwa, Shuhei Shibata, Ryoma Nishimoto, Masami Miyata, Takashi Kanno, Toshiyuki Washizawa, Masashi Kondo, Kazuyoshi Imaizumi

Subjects: “…chronic obstructive pulmonary disease…”
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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study by Nai-Yu Kuo, Hsin-Jung Tsai, Shih-Jen Tsai, Albert C Yang

“… BackgroundObstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by frequent pauses or shallow breathing during sleep. …”
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Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning by Leeran Talker, Cihan Dogan, Daniel Neville, Rui Hen Lim, Henry Broomfield, Gabriel Lambert, Ahmed Selim, Thomas Brown, Laura Wiffen, Julian Carter, Helen F. Ashdown, Gail Hayward, Elango Vijaykumar, Scott T. Weiss, Anoop Chauhan, Ameera X. Patel

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Giant hydronephrosis in radiology: Learning from incidental findings to improve diagnostic accuracy by Lokesh Rana, Varun Bansal, Pooja Gurnal, Narvir S Chauhan

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Improving COPD Readmission Prediction with Optimized Machine Learning by Rajasekaran S, Shaik Mastan Val

Subjects: “…chronic obstructive pulmonary disease…”
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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning by Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

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Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model by Zhe Zhang, Yang Dai, Peng Xue, Xue Bao, Xinbo Bai, Shiyang Qiao, Yuan Gao, Xuemei Guo, Yanan Xue, Qing Dai, Biao Xu, Lina Kang

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