Inhalation Injury (A Literature Review) by E. A. Zhirkova, T. G. Spiridonova, P. A. Brygin, A. V. Makarov, A. V. Sachkov

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Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

“…In the 2019 European Society of Cardiology (ESC) guidelines, the diagnostic algorithm for chronic coronary syndrome (CCS) was significantly changed, a significant revision of the pretest probability assessment scale (PTP) was made, an assessment of the clinical probability of obstructive coronary artery disease was proposed, the recommendations on the use of diagnostic tests in various groups of patients were updated. …”
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Unpacking the dangers of super absorbent polymer water beads: an in vitro analysis by Jack J. Hachem, Jack J. Hachem, Javier Monagas, Javier Monagas, Ankona Banerjee, Robert A. Noel, Robert A. Noel

“…ObjectivesThis study aims to investigate the risk of pediatric bowel obstruction from various types of super absorbent polymer (SAP) beads in different liquid media, explore treatment options, and develop a clinical decision-making algorithm for healthcare providers.MethodsThree experiments were conducted involving the measurement of SAP beads' expansion in different liquid media. …”
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Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY by Jackson D, Quinton A, Zhang F, Müllerová H, Janson C, Sadatsafavi M

“…Dan Jackson,1 Anna Quinton,2 Fanni Zhang,3 Hana Müllerová,4 Christer Janson,5 Mohsen Sadatsafavi6 1Statistical Innovation Group, AstraZeneca, Cambridge, UK; 2Global Health Economics and Payer Evidence, BioPharmaceuticals Business Unit, AstraZeneca, Cambridge, UK; 3Statistical Innovation Group, AstraZeneca, Gaithersburg, MD, USA; 4Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 5Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden; 6Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, CanadaCorrespondence: Dan Jackson, Statistical Innovation, AstraZeneca, Academy House, 136 Hills Road, Cambridge, CB2 8PA, UK, Email daniel.jackson1@astrazeneca.comPurpose: The St George’s Respiratory Questionnaire (SGRQ) measures health status in obstructive airways disease. Starkie et al proposed an algorithm for mapping the SGRQ to EQ-5D-5L, a preference-based utility measure, in chronic obstructive pulmonary disease (COPD) (Value Health 2011;14:354– 60); only SGRQ total score, its squared value, and sex were included as covariates. …”
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Is the problem of intact coronary arteries still or is it close to solving? by A. N. Sumin

“…The diagnostic algorithms used until recently led to the fact that in invasive coronary angiography obstructive changes in the coronary arteries were detected in less than half of the cases. …”
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HAP-COVID: Hybrid Model Integrating Machine Learning and Neutrosophic Statistics to Estimate Mortality Risk in COVID-19 Comorbid Patients by Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones

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On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy by Gimo C. Fernando, Tinghao Qi, Edmund V. Ndimbo, Assefa Tesfay Abraha, Bang Wang

“…Accurate indoor positioning remains a critical challenge due to the limitations of single-source systems, such as signal instability and environmental obstructions. This study introduces a multi-source fusion positioning algorithm that integrates inertial sensors and signal fingerprints to address these issues. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The golden jackal optimization (GJO) algorithm is employed to optimize the key parameters of the VMD, enabling effective signal decomposition. …”
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Method of support posture perception in mining face based on visual-inertial information fusion by XING Keke, CHENG Jingyi, XU Zhongxin, WAN Zhijun, XUE Minti, YAN Wanzi, BAO Kuo, YI Junjie

“…A target recognition method based on Canny and least squares, along with a BA-PnP algorithm based on four feature points, was used to solve the pitch and roll angles of the top beam and shield beam relative to the base. …”
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CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting guideline-driven treatment by Iris van Geer-Postmus, Marika T. Leving, Yoran H. Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H. Prins, Jennifer K. Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H. Kocks

“…The algorithms were evaluated in nine general practices in the Netherlands. …”
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Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine learning by Qianqian Liang, Yide Wang, Zheng Li, Zheng Li, Zheng Li, Zheng Li

“…BackgroundDiabetes and chronic obstructive pulmonary disease (COPD) are prominent global health challenges, each imposing significant burdens on affected individuals, healthcare systems, and society. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“… Abstract BackgroundDiabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population. …”
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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…To empower the eSR with early diagnosis functionality, self‐learning capability is further added by integrating the respirometer with the machine learning algorithms. Among various tested algorithms, gradient boosting regression emerges as the most suitable, leveraging sequential model refinement to achieve an accuracy exceeding 95% in detection of chronic obstructive pulmonary diseases (COPD). …”
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An automated and reliable method for breath detection during variable mask pressures in awake and sleeping humans. by Chinh D Nguyen, Jason Amatoury, Jayne C Carberry, Danny J Eckert

“…Recently developed techniques to quantify the multiple causes of obstructive sleep apnea, require intermittent changes in airway pressure applied to a breathing mask. …”
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Resistant arterial hypertension: is it really so or have we missed something? by V. A. Ionin

“…Presented are modern ideas about the most common secondary causes of arterial hypertension, such as obstructive sleep apnea syndrome, the possibility of correcting this condition and the choice of drug therapy. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Patients with chronic obstructive pulmonary disease (COPD) and asthma present low levels of physical fitness because they avoid physical exercises due to the fear of triggering recurrent symptoms. …”
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SIMSPIRE: A Simulator of the Respiratory System by Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini, Elvinia Riccobene

“…The versatility of SIMSPIRE makes it suitable for simulating diverse respiratory scenarios and evaluating new algorithms or control strategies for ventilatory support. …”
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Validating a smart bed against polysomnography for sleep apnea detection by Farzad Siyahjani, Kostiantyn Kalenyk, Gary Garcia-Molina, Saeed Babaeizadeh

“…Abstract Sleep-disordered breathing (SDB), including obstructive sleep apnea (OSA) and central sleep apnea (CSA), significantly impairs sleep quality and overall well-being. …”
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An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation by Yujie Fu, Yining Liu, Chuyue Zhong, Ali Asghar Heidari, Lei Liu, Sudan Yu, Huiling Chen, Peiliang Wu

“…Summary: Chronic obstructive pulmonary disease (COPD) causes irreversible airflow limitations, increasing global morbidity and mortality. …”
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Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures by Yiqun Chen, Mingxuan Ma, Dandan Qu, Chunxiang Xu

“…To forecast the likelihood of postoperative pneumonia occurrence, both machine learning and deep learning algorithms were employed. The study identified Age, Gender, Fracture type, Venous thromboembolism (VTE), Hypertension, Chronic obstructive pulmonary disease (COPD), Cancer, Atrial fibrillation, Cerebrovascular disease, Hypoalbuminemia, Free fatty acid, Albumin, Albumin to globulin ratio, Calcium, Fibrinogen, D-dimer, Alcohol, Surgical grade and C-reactive protein as significant predictors of postoperative pneumonia. …”
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