Article

Managing Data Uncertainty and Machine Learning for Adult ADHD Classification Using Accelerometry: OBF-Psychiatric Case Study

2025-08-27

Abstract excerpt

This study aims to enhance our understanding of ADHD individuals through accelerometer analysis while developing a framework for managing data uncertainty in digital biomarker research. Our primary emphasis is on identifying and mitigating biases within the OBF-Psychiatric dataset for ADHD and CONTROL groups, exploring how these biases influence machine learning model performance and generalizability. To balance p...

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Literature Corpus work: e4544fba-1832-59c7-aab4-3e48a1021d47
DOI: 10.1101/2025.08.26.25332257

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