Author

Tzu-An Song

University of Massachusetts LowellORCID 0000-0002-4619-933XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Joyita DuttaiD· 1 shared Masoud MalekzadehiD· 1 shared Richa SaxenaiD· 1 shared Shaun PurcelliD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Joyita DuttaORCID

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1 paper

Recent·Most cited

A transformer model for predicting cognitive impairment from sleep

Tzu-An Song, Masoud Malekzadeh, Richa Saxena, Shaun Purcell, Joyita Dutta

This paper presents a transformer model to predict cognitive impairment from sleep EEG data, achieving 70.22% accuracy, outperforming traditional methods.

bioRxiv · Jul 17, 2022 · PreprintNeuroscience