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Mandatory surveillance of bacteremia conducted by automated monitoring.
Front Public Health
December 2024
Department of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Except for a few countries, comprehensive all-cause surveillance for bacteremia is not part of mandatory routine public health surveillance. We argue that time has come to include automated surveillance for bacteremia in the national surveillance systems, and explore diverse approaches and challenges in establishing bacteremia monitoring. Assessed against proposed criteria, surveillance for bacteremia should be given high priority.
View Article and Find Full Text PDFMultidimensional internet use related to cognitive performance in older persons: a nationwide cross-sectional study.
Front Public Health
December 2024
School of Pharmaceutical Economics and Management, Anhui University of Traditional Chinese Medicine, Hefei, China.
Introduction: The internet has been increasingly recognized as a potential driver for enhancing cognitive functioning in older adults; however, the mechanisms underlying this relationship remain insufficiently understood in the literature. This study aimed to investigate the associations between different dimensions of internet use-activity, device, and frequency-and cognitive performance in older adults.
Methods: This cross-sectional study utilized data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS), involving a nationally representative sample of 17,676 participants aged 60 years and above.
Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model.
Front Comput Neurosci
December 2024
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. Addressing the issues of incomplete and inconsistent adverse event records, we employed a deep learning model that combines BERT and BiLSTM to predict whether adverse event reports resulted in patient harm. We developed the Bert-BiLSTM-Att_dropout model specifically for text classification tasks with small datasets, optimizing the model's generalization ability and key information capture through the integration of dropout and attention mechanisms.
View Article and Find Full Text PDFAnnao Pingchong decoction attenuates oxidative stress and neuronal apoptosis following intracerebral hemorrhage via RAGE-NOX2/4 axis.
Front Neurosci
December 2024
Experiment Center of Medical Innovation, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Background: Intracerebral hemorrhage (ICH) is a severe condition associated with high mortality and disability rates. Oxidative stress plays a critical role in the development of secondary brain injury (SBI) following ICH. Previous research has demonstrated that Annao Pingchong decoction (ANPCD) treatment for ICH has antioxidant effects, but the exact mechanism is not yet fully understood.
View Article and Find Full Text PDFVision transformer-equipped Convolutional Neural Networks for automated Alzheimer's disease diagnosis using 3D MRI scans.
Front Neurol
December 2024
Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Alzheimer's disease (AD) is a neurodegenerative ailment that is becoming increasingly common, making it a major worldwide health concern. Effective care depends on an early and correct diagnosis, but traditional diagnostic techniques are frequently constrained by subjectivity and expensive costs. This study proposes a novel Vision Transformer-equipped Convolutional Neural Networks (VECNN) that uses three-dimensional magnetic resonance imaging to improve diagnosis accuracy.
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