Pinned Repositories
Bipolar-Borderline-Classification
This study employs a multimodal machine learning approach, using EEG patterns and cognitive tests to differentiate Bipolar Disorder II (BD II) and Borderline Personality Disorder (BPD). Analyzing data from 45 participants, the KNN algorithm achieved 93% balanced accuracy, with EEG features playing a key role.
Mohammadjnazari's Repositories
Mohammadjnazari/Bipolar-Borderline-Classification
This study employs a multimodal machine learning approach, using EEG patterns and cognitive tests to differentiate Bipolar Disorder II (BD II) and Borderline Personality Disorder (BPD). Analyzing data from 45 participants, the KNN algorithm achieved 93% balanced accuracy, with EEG features playing a key role.