Author

Tine Nordgreen

Haukeland University HospitalORCID 0000-0003-1282-6902Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Enrique Garcia-CejaiD· 1 shared Jim TørreseniD· 1 shared Ketil Joachim OedegaardiD· 1 shared Lena Antonsen StabelliD· 1 shared Michael Alexander RiegleriD· 1 shared Ole Bernt FasmeriD· 1 shared Petter JakobseniD· 1 shared

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2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Enrique Garcia-CejaORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedAug 24, 2020

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients.

Petter Jakobsen, Enrique Garcia-Ceja, Michael Alexander Riegler…·Ketil Joachim Oedegaard

This study uses machine learning to analyze motor activity data from depressed patients and healthy controls, finding that a deep neural network achieves high accuracy in distinguishing between the groups.

84 citationstop 2%

humanmachine learning (classical)

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