SinoXivBackground Hip fractures in elderly patients are associated with high morbidity and mortality. Simple and reliable prognostic biomarkers are needed to guide perioperative management. Hemoglobin–Albumi...
Background Acquired immunodeficiency syndrome (AIDS) remains a major global public health challenge despite substantial advances in combination antiretroviral therapy (cART). Understanding factors ass...
Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...
Background Functional decline and activity limitation are important indicators of health status among older adults and are associated with reduced independence, poorer quality of life, and increased h...
This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...
This study examines AI information literacy among healthcare professionals and identify differences across professional roles. An online survey was administered to 390 healthcare professionals includi...
Brain tumours cause severe morbidity. Needs to be diagnosed in the minimum time and with the Highest accuracy. It takes a long time to learn Deep learning Models that can predict the type and severity...
Background Our study aimed to explore the correlations between Auditory Brainstem Response outcomes and Autism phenotypes.Methods A total of 1883 children with or suspected of being with ASD were enro...
Objective To analyze the current status and influencing factors of social isolation in patients with colorectal cancer after stoma surgery, and to construct a risk prediction model for social isolatio...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
