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Construction and Comparison of Machine Learning-Based Risk Prediction Models for Major Adverse Cardiovascular Events in Perimenopausal Women
Published 2025-01-01“…Anjing Chen,1,* Xinyue Chang,2,* Xueling Bian,1 Fangxia Zhang,3 Shasha Ma,4 Xiaolin Chen5 1College of Nursing, Binzhou Medical University, Shandong, 256600, People’s Republic of China; 2Vascular Surgery Department, Shandong Provincial Hospital, Binzhou, Shandong, 250001, People’s Republic of China; 3CCU, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China; 4Neurology Department, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China; 5Office of Health Care, Binzhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaolin Chen, Office of Health Care, Binzhou Medical University Hospital, No. 661, Huanghe 2nd Road, Bincheng District, Binzhou, Shandong, 256600, People’s Republic of China, Tel +86 13854380372, Email xiaolin750210@sina.comBackground: Perimenopausal period is a period of physiological changes in women with signs of ovarian failure, including menopausal transition period and 1 year after menopause. …”
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The effects of acute exercise on emotional pattern separation in adolescents and young adults
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Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study
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Neural activity responsiveness by maturation of inhibition underlying critical period plasticity
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