Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles
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DOI: 10.1186/s40359-024-01576-1
Abstract: Predicting attachment styles using AI algorithms remains relatively unexplored in scientific literature. This study addresses this gap by employing EEG data to evaluate the effectiveness of ROCKET-driven features versus classic features, both analyzed using the… read more here.
Keywords: rocket; predicting attachment; classic features; rocket derived ... See more keywords
1124-P: Clinical and Genetic Models Assess the Probability of Type 1 Diabetes (T1D) among Patients with Nonclassic Diabetes Features
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DOI: 10.2337/db21-1124-p
Abstract: Objective: Develop and assess the performance of clinical/genetic models for quantifying the probability of T1D among diabetes patients with non-classic features. Research Design and Methods: Subjects were defined as having classic features of T1D (ICD… read more here.
Keywords: probability; classic features; clinical genetic; non classic ... See more keywords