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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Task shifting for non-communicable disease management in low and middle income countries--a systematic review. by Rohina Joshi, Mohammed Alim, Andre Pascal Kengne, Stephen Jan, Pallab K Maulik, David Peiris, Anushka A Patel

“…Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. …”
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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation by Or Inbar, Omri Inbar, Ronen Reuveny, Michael J. Segel, Hayit Greenspan, Mickey Scheinowitz

“…This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD). …”
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Chronic liver disease detection using ranking and projection-based feature optimization with deep learning by Sumaiya Noor, Salman A. AlQahtani, Salman Khan

“…Early detection of liver conditions is crucial, and recent advancements in machine learning (ML) have proven highly effective in predicting diseases like chronic obstructive pulmonary disease (COPD), hypertension, and diabetes. …”
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Intensive Care for Anaphylaxis in Children: Current Trends by Yu. V. Bykov, A. N. Obedin, V. V. Fischer, E. V. Volkov, O. V. Zinchenko

“…Clinically, anaphylaxis is manifested by allergic skin rash, angioedema, obstruction of the upper respiratory tract (URT), broncho-obstructive syndrome (BOS), arterial hypotension, tachycardia. …”
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The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention by Asad Shabbir, Abdelrahman Attia, Nikkole Marie Weber, Mustafa Alhassan, Monika Radike, Conor M Lane, Apurva Bhavana Challa, Malgorzata Wamil

“…Computed tomography coronary angiography (CTCA) has emerged as a leading non-invasive imaging modality, often serving as the first-line investigation to exclude obstructive CAD in patients with chronic coronary syndrome. …”
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Diagnosis and treatment of synthetic mid-urethral sling complications by Helen E. O’Connell, Christopher K. Harding, Gaurav Khatri, Phyllis Glanc, Eric Bautrant, Sarah Love-Jones, Karen Ward, Henry H. Yao, Ventia Hoe, Charlotte Korte, Nicolle Germano, Sanjeevan Kalavampara, Sherif Mourad, Hashim Hashim

“…The management of complications following SMUS placement is discussed and algorithms are provided for each of the common complications of SMUS. …”
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PREDICTORS OF SHORT TERM OUTCOMES IN HIGH AND MODERATE RISK PULMONARY THROMBOEMBOLISM by Е. А. Kochmareva, V. А. Kokorin, А. L. Volkova, I. G. Gordeev, S. N. Veliev, I. А. Gudkova

“…Combination of ≥2,5 points by ROCky and presence of echocardiographical signs of the right ventricle dysfunction showed more efficacy than the algorithm of European Society of Cardiology (2014) in the studied population of hemodynamically stable patients, for the obstructive shock, fatal relapse of PTE, fatal outcome and combination endpoint.Conclusion. …”
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Automatic adventitious respiratory sound analysis: A systematic review. by Renard Xaviero Adhi Pramono, Stuart Bowyer, Esther Rodriguez-Villegas

“…<h4>Background</h4>Automatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and pneumonia. …”
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Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA by Tong Y, Wen K, Li E, Ai F, Tang P, Wen H, Guo B

“…Yangyang Tong,1 Kuo Wen,2 Enguang Li,3 Fangzhu Ai,4 Ping Tang,5 Hongjuan Wen,3 Botang Guo5 1Department of Pulmonary Oncology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 2College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 3College of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 4School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning Province, 121000, People’s Republic of China; 5Department of General Practice, the Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, 518001, People’s Republic of ChinaCorrespondence: Botang Guo, Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, 518001, People’s Republic of China, Email hmugbt@hrbmu.edu.cn Hongjuan Wen, College of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China, Email wenhongjuan2004@163.comObjective: The aim of this study was to establish a risk prediction model for sleep quality in patients with obstructive sleep apnea (OSA) based on machine learning algorithms with optimal predictive performance.Methods: A total of 400 OSA patients were included in this study. …”
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AIRWAY ASSESSMENT IN OUTPATIENT DENTAL PRACTICE by I. А. Khrypachenko, T. V. Diomina, O. А. Udod

“…Large neck circumference, which often associates with obstructive sleep apnea, is the risk factor of difficult intubation in obese patients. …”
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A comprehensive investigation of the relationship between dietary fatty acid intake and preserved ratio impaired spirometry: multimethodology based on NHANES by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Jianxing He, Ying Huang

“…Abstract Background Preserved ratio impaired spirometry (PRISm) has been identified as a potential precursor to chronic obstructive pulmonary disease (COPD) and demonstrates a significant correlation with unfavorable clinical outcomes. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models. …”
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Interplay of lung microbiome and epigenetics in former smokers: A machine learning and fuzzy logic approach on COPD progression by Hamidreza Taherkhani, Azadeh Kavianfar, Hossein Lanjanian, Nazanin Hosseinkhan, Mahdieh Salimi, Sajjad Nematzadeh, Mohammad Mehdi Naghizadeh, Sadegh Azimzadeh, Ali Masoudi-Nejad

“…The progression of Chronic Obstructive Pulmonary Disease (COPD) has been shown in many studies to be directly related to changes in epigenetic modification. …”
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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

“…To determine the clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and develop an algorithm for improving the efficacy of treating lower urinary tract symptoms in benign prostatic hyperplasia.Materials &amp; methods. …”
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The Approach to Diagnosis and Treatment of Chronic Constipation: Suggestions for a General Practitioner by Pierre Paré

“…Chronic constipation is a frequent complaint. Symptoms of obstructive defecation (straining, hard and lumpy stools, or incomplete evacuation) are more frequent and bothersome than the frequency of bowel movements. …”
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Technical validation of real-world monitoring of gait: a multicentric observational study by Sarah Koch, Clint Hansen, Walter Maetzler, Anne-Elie Carsin, Kristin Taraldsen, Kamiar Aminian, Clemens Becker, Lorenzo Chiari, Anisoara Paraschiv-Ionescu, Jorunn L Helbostad, Beatrix Vereijken, Lynn Rochester, Philip Brown, David Singleton, Basil Sharrack, Brian Caulfield, Ellen Buckley, Claudia Mazza, Nikolaos Chynkiamis, Felix Kluge, M Encarna Micó-Amigo, Francesca Salis, Lars Schwickert, Kirsty Scott, Ioannis Vogiatzis, Alison Yarnall, Alison Keogh, Silvia Del Din, Björn Eskofier, Lisa Alcock, Stefano Bertuletti, Tecla Bonci, Marina Brozgol, Marco Caruso, Andrea Cereatti, Fabio Ciravegna, Jordi Evers, Eran Gazit, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Neil Ireson, Cameron Kirk, Arne Küderle, Vitaveska Lanfranchi, Arne Mueller, Isabel Neatrour, Martijn Niessen, Luca Palmerini, Lucas Pluimgraaff, Luca Reggi, Henrik Sillen, Abolfazi Soltani, Martin Ullrich, Linda Van Gelder, Elke Warmerdam

“…These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. …”
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Effect of Droplet Contamination on Camera Lens Surfaces: Degradation of Image Quality and Object Detection Performance by Hyunwoo Kim, Yoseph Yang, Youngkwang Kim, Dong-Won Jang, Dongil Choi, Kang Park, Sangkug Chung, Daegeun Kim

“…However, during rainy weather, droplets on the camera lens surface can obstruct the view, leading to degraded image quality and reduced algorithm performance. …”
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A Classification Method Related to Respiratory Disorder Events Based on Acoustical Analysis of Snoring by Can WANG, Jianxin PENG, Xiaowen ZHANG

“…Acoustical analysis of snoring provides a new approach for the diagnosis of obstructive sleep apnea hypopnea syndrome (OSAHS). A classification method is presented based on respiratory disorder events to predict the apnea-hypopnea index (AHI) of OSAHS patients. …”
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