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Adhd 200 by orange is a document available to read on EtoBox.
The study evaluates the effectiveness of diagnosing ADHD using personal characteristic data compared to resting state fMRI measurements, finding that personal data achieved a higher diagnostic accuracy of 62.52%. The research utilized a large dataset from the ADHD-200 Global Competition, involving 973 participants, to train a logistic classifier for diagnosis. Results highlight the significance of personal characteristics in improving diagnostic accuracy for ADHD, suggesting implications for future fMRI-bas
- Author
- orange
- Language
- EN