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An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia Diagnosis

2023-05-30

Abstract excerpt

Schizophrenia (SZ) is a neuropsychiatric disorder that affects millions globally. Current diagnosis of SZ is symptom-based, which poses difficulty due to the variability of symptoms across patients. To this end, many recent studies have developed deep learning methods for automated diagnosis of SZ, especially using raw EEG, which provides high temporal precision. For such methods to be productionized, they must be...

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Literature Corpus work
c7aca337-2e9d-5146-9d01-007d97f1f4d5
DOI
10.1101/2023.05.27.542592
Open publication

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An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisDOI 10.1101/2023.05.27.542592
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