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Addressing Inaccurate Nosology in Mental Health: A Multi Label Data Cleansing Approach for Detecting Label Noise from Structural Magnetic Resonance Imaging Data in Mood and Psychosis Disorders via Deep Learning
Mental health diagnostic approaches are seeking to identify biological markers to work alongside of advanced machine learning approaches. It is difficult to identify a biological marker of disease when the traditional diagnostic labels themselves are not necessarily valid. To begin to address this,...
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| Pubblicato in: | Biol Psychiatry Cogn Neurosci Neuroimaging |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7760893/ https://ncbi.nlm.nih.gov/pubmed/32771180 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpsc.2020.05.008 |
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