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    Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review by Bashir MBA, Milani GP, De Cosmi V, Mazzocchi A, Zhang G, Basna R, Hedman L, Lindberg A, Ekerljung L, Axelsson M, Vanfleteren LEGW, Rönmark E, Backman H, Kankaanranta H, Nwaru BI

    Published 2025-02-01
    “…Muwada Bashir Awad Bashir,1 Gregorio Paolo Milani,2,3,* Valentina De Cosmi,4,5,* Alessandra Mazzocchi,3,* Guoqiang Zhang,1 Rani Basna,1 Linnea Hedman,6 Anne Lindberg,7 Linda Ekerljung,1 Malin Axelsson,8 Lowie EGW Vanfleteren,9 Eva Rönmark,6 Helena Backman,6 Hannu Kankaanranta,1,10,11 Bright I Nwaru1,12 1Krefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden; 2Pediatric Unit, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy; 3Department of Clinical Science and Community Health, University of Milan, Milan, Italy; 4Department of Food Safety, Nutrition and Veterinary Public Health, Instituto Superiore Di Sanità - Italian National Institute of Health, Roma, Italy; 5Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy; 6Department of Public Health and Clinical Medicine, Section of Sustainable Health/ the OLIN Unit, Umeå University, Umeå, Sweden; 7Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; 8Department of Care Science, Faculty of Health and Society, Malmö University, Malmö, Sweden; 9COPD Center, Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden; 10Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland; 11Tampere University Respiratory Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 12Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden*These authors contributed equally to this workCorrespondence: Muwada Bashir Awad Bashir, Krefting Research Centre, Institute of Medicine, University of Gothenburg, P.O. …”
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    Inflammatory Gene Signature Identified by Machine Algorithms Reveals Novel Biomarkers of Coronary Artery Disease by Liu X, Zhang Y, Wang Y, Xu Y, Xia W, Liu R, Xu S

    Published 2025-02-01
    “…Xing Liu,1,* Yuanyuan Zhang,1,* Yan Wang,2,3,* Yanfeng Xu,2,4,5 Wenhao Xia,2,5– 7 Ruiming Liu,4,5 Shiyue Xu2,5,6 1Department of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 2Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 3Health Management Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 4Laboratory of General Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 5National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 6NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China; 7Department of Cardiovascular Medicine, Guangxi Hospital Division of The First Affiliated Hospital of Sun Yat-sen University, Nanning, Guangxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shiyue Xu, Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China, Email xushy25@mail.sysu.edu.cn Ruiming Liu, Laboratory of General Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China, Email liuruim@mail2.sysu.edu.cnPurpose: Inflammatory activation of immune cells plays a pivotal role in the development of coronary artery diseases (CAD). …”
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    Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

    Published 2020-05-01
    “…Broadcasting in discussions that often occur on social media, often users of social media consciously or unconsciously have created content that contains issues of ethnicity, religion, race (nationality) and intergroup (SARA). Obtained from the analysis that can automatically contain sentences on social media containing no SARA or not, but the corpus about sentences containing SARA does not yet exist, other than that the sentence label indicates SARA or no sentence. …”
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