(HTN) is employed for sleep disorder diagnosis, with SleepGPT acting as a local feature extractor. (b) Datasets for evaluating the proposed artificial intelligence (AI) models. For sleep staging, cross-validation of the AI models is performed on the SleepEDF and MASS datasets. The models ...
(miRNAs) and clinical risk factors via machine learning modeling may provide useful information and novel tools for essential hypertension diagnosis and management. Materials and methods: In total, 174 participants were enrolled in the present observational case–control study, among which, there were ...
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