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A recurrence model for non-puerperal mastitis patients based on machine learning.
Published 2025-01-01“…<h4>Objective</h4>Non-puerperal mastitis (NPM) is an inflammatory breast disease affecting women during non-lactation periods, and it is prone to relapse after being cured. …”
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Association of delayed asthma diagnosis with asthma exacerbations in children
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Nommer et décrire les soieries façonnées. Apports et limites d’une comptabilité princière
Published 2021-03-01“…During the 20th Century, three major research centers developed technical vocabularies. However, many medieval textiles cannot be studied directly with these reading grids, which are too contemporary. …”
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Role of a key microphysical factor in mixed-phase stratocumulus clouds and their interactions with aerosols
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Bridging the gap: attitudes and practices toward complementary and alternative medicine among oncology patients and healthcare professionals in Croatia
Published 2025-01-01“…A cross-sectional survey was conducted between November 2022 and May 2023 at University Hospital Center Sisters of Mercy, Zagreb, Croatia. The study included 832 participants: 411 oncology patients and 421 healthcare professionals (100 physicians, 321 nurses/technicians). …”
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The impact of delay in HIV diagnosis on patient survival: analysis of HIV infection trends from 2007 to 2023
Published 2025-02-01“…Methods In this retrospective cohort study, data from the ART Center of Koppal District Hospital, India, from April 2007 to August 2023 were used. …”
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Assessing Associations of Nurse‐Managed Hypertension Care on Pharmacotherapy, Lifestyle Counseling, and Prevalence of Comorbid Cardiometabolic Diseases in All Patients With Hyperte...
Published 2025-01-01“…ABSTRACT The aim was to study if nurse‐managed hypertension care was associated with differences in pharmacotherapy, lifestyle counseling, and prevalence of comorbid cardiometabolic diseases among patients receiving care at primary health care centers. …”
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Nocturnal sweating—a common symptom of obstructive sleep apnoea: the Icelandic sleep apnoea cohort
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics
Published 2025-02-01“…Wenqi Wu,1,2,* Xiaohao Hu,1,2,* Linyang Yan,3,* Zhiyin Li,4 Bo Li,5 Xinpeng Chen,6 Zexun Lin,7 Huiqiong Zeng,8 Chun Li,9 Yingqian Mo,10 Yalin Wu,3 Qingwen Wang1,2 1Department of Rheumatology and Immunology, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China; 2Shenzhen Key Laboratory of Inflammatory and Immunology Diseases, Shenzhen, People’s Republic of China; 3Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, 518036, People’s Republic of China; 4Department of Information Systems, City University of Hong Kong, Hong Kong, People’s Republic of China; 5Department of Rheumatology and Immunology, People’s Hospital of Longhua District, Shenzhen, People’s Republic of China; 6Department of Rheumatology and Immunology, Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, People’s Republic of China; 7Shenzhen Nanshan Medical Group HQ Taohuayuan Community Health Service Center, Shenzhen, People’s Republic of China; 8Traditional Chinese Medicine Department of Rheumatism, Women & Children Health Institute, Shenzhen, People’s Republic of China; 9Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing, People’s Republic of China; 10Department of Rheumatology and Immunology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yalin Wu; Qingwen Wang, Email yalinwu@jj.ac.kr; wangqingwen@pkuszh.comObjective: In primary healthcare, diagnosing rheumatoid arthritis (RA) is challenging due to a general lack of in-depth knowledge of RA by general practitioners (GPs) and the lack of effective tools, leading to high rates of missed diagnosis. …”
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