Abstract: Early detection of mental health disorders through social media has become a crucial focus in the advancement of machine learning-based technologies. This study presents a systematic review ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Introduction: A best practice for sleep actigraphy assessment includes concurrent participant completion of a daily sleep log, which poses additional burden on both the participant (~3 minutes ...
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