RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning by Yu Zhao, Yifang Ban

“…This study aims to investigate the capacity of compact polarisation RCM data for burned area mapping through deep learning. Compact-pol m-χ decomposition and Compact-pol Radar Vegetation Index (CpRVI) are derived from the RCM Multi-Look Complex product. …”
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Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning by Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu

“…A high degree of similarity between mouse CKD and human CKD in KEGG enrichment was observed in the mouse unilateral ureteral obstruction model, and the core genes related to the occurrence and progression of human CKD remained diagnostically valuable in mice.ConclusionThis study provides a transcriptomics-based risk prediction model for the occurrence and development of CKD based on machine learning, offering potential target genes for the further experimental research of CKD.…”
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Assessing healthcare cost changes associated with transitioning away from cigarette smoking using healthcare claims data: an exploratory study among adult male patients with COPD by Mingda Zhang, Hui G. Cheng, Brendan Noggle, Jud C. Janak, Megan Richards, David Smith

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Developing muscarinic receptor M1 classification models utilizing transfer learning and generative AI techniques by Souvik Dey, Anders Wallqvist, Mohamed Diwan M. AbdulHameed

“…In this work, we developed machine learning-based M1 classification models utilizing publicly available bioactivity data. …”
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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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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm by Zahra Nejatifar, Ahad Alizadeh, Mohammad Amerzadeh, Shideh Omidian, Sima Rafiei

“…Abstract Background Palliative care is a key component of integrated care to improve care quality and reduce hospitalization costs for patients with chronic obstructive pulmonary disease (COPD). This study aims to use machine learning algorithms to create an effective approach to the early recognition and identification of frailty as a long-term condition in COPD patients. …”
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Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation by Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

“…Although basic spirometry is used for diagnosis of obstructive lung disease, clinically relevant information such as restriction, hyperinflation, and air trapping require additional testing, such as body plethysmography, which is not as readily available. …”
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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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Entrepreneurial values and circular economy adoption: A cross-lagged SEM-based machine learning study by Tahseen Anwer Arshi, Joseph Wallis

“…However, an adequate investigation is yet to occur on self-advancing values that can obstruct CE adoption and practice in an entrepreneurial context. …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…Image-based UOD has progressed fast recently, in addition to deep learning (DL) applications and development in computer vision (CV). …”
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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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Machine learning assisted immune profiling of COPD identifies a unique emphysema subtype independent of GOLD stage by Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh

“…Summary: Chronic obstructive pulmonary disease (COPD) is a severe, progressive, and heterogeneous disease with a poor outcome. …”
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Effect of Electroacupuncture at Changqiang Acupoint on Learning and Memory Ability and Hippocampal CA1 Apoptosis in Rats with Vascular Dementia by Ke'ai CHEN, Ping YU, Jie CHEN, Lianhong HUANG, Wei XU

“…Rats of VD models were established by 2 vessels obstruction (2-VO), 27 rats were selected from the surgical control group and divided into three groups: 9 rats for model group, 9 rats for EA treatment group and rest 9 rats for the non-acupoint EA control group. …”
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Internalization of Religious Character Values Through Himpunan Putusan Tarjih Muhammadiyah Learning in College Student Boarding School by Abiyyul Ridho, Triono Ali Mustofa

“… This study aims to explain how to internalize religious character values through learning Himpunan Putusan Tarjih Muhammadiyah at the KH. …”
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Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning by Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu

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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

“…The collected signals are processed using the Discrete Wavelet Transform (DWT) to extract relevant features, which are then used to train an embedded machine learning model designed to detect faults such as bottle obstructions and falls. …”
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Automated Detection, Localization, and Severity Assessment of Proximal Dental Caries from Bitewing Radiographs Using Deep Learning by Mashail Alsolamy, Farrukh Nadeem, Amr Ahmed Azhari, Walaa Magdy Ahmed

“…Nonetheless, misinterpretations may obstruct precise diagnosis. This paper presents a deep-learning-based system to improve the evaluation process by detecting proximal dental caries from BRs and classifying their severity in accordance with ICCMS^TM guidelines. …”
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WiCNNAct: Wi-Fi-Based Human Activity Recognition Utilizing Deep Learning on the Edge Computing Devices by Venkata Raghava Shashank Viswanathuni, Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi

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Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes by Junwei Peng, Xiaoyujie Geng, Yiyue Zhao, Zhijin Hou, Xin Tian, Xinyi Liu, Yuanyuan Xiao, Yang Liu

“…Abstract Currently applicable models for predicting live birth outcomes in patients who received assisted reproductive technology (ART) have methodological or study design limitations that greatly obstruct their dissemination and application. Models suitable for Chinese couples have not yet been identified. …”
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An Integrative Machine Learning Model for Predicting Early Safety Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation by Abilkhair Kurmanaliyev, Kristina Sutiene, Rima Braukylienė, Ali Aldujeli, Martynas Jurenas, Rugile Kregzdyte, Laurynas Braukyla, Rassul Zhumagaliyev, Serik Aitaliyev, Nurlan Zhanabayev, Rauan Botabayeva, Yerlan Orazymbetov, Ramunas Unikas

“…A fined-tuned random forest (RF) machine learning model was developed to predict early safety outcomes, defined as all-cause mortality, stroke, life-threatening bleeding, acute kidney injury (stage 2 or 3), coronary artery obstruction requiring intervention, major vascular complications, and valve-related dysfunction requiring repeat procedures. …”
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