Suchergebnisse - "automated machine learning algorithms"

Graph-informed convolutional autoencoder to classify brain responses during sleep von Zakeri, Sahar, Makouei, Somayeh, Danishvar, Sebelan

“… Automated machine-learning algorithms that analyze biomedical signals have been used to identify sleep patterns and health issues …”
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A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning von Thomaidis, Georgios V., Papadimitriou, Konstantinos, Michos, Sotirios, Chartampilas, Evangelos, Tsamardinos, Ioannis

“… of the cerebellum in the pathogenesis of bipolar disorder.With this aim, user-friendly, fully automated machine learning algorithms can achieve extremely high classification …”
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Data-driven estimation of blood pressure using photoplethysmographic signals von Shi Chao Gao, Wittek, Peter, Li Zhao, Wen Jun Jiang

“… The estimation is data-driven, we use automated machine learning algorithms instead of mathematical models …”
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Automated 3D mapping of baseline and 12-month associations between three verbal memory measures and hippocampal atrophy in 490 ADNI subjects von Apostolova, Liana G., Morra, Jonathan H., Green, Amity E., Hwang, Kristy S., Avedissian, Christina, Woo, Ellen, Cummings, Jeffrey L., Toga, Arthur W., Jack, Clifford R., Weiner, Michael W., Thompson, Paul M.

“… We used a previously validated automated machine learning algorithm based on adaptive boosting to segment the hippocampi in baseline and 12-month follow-up 3D T1-weighted brain MRIs of 150 cognitively normal elderly (NC …”
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3D mapping of associations between Amyloid-PET and CSF biomarkers and hippocampal morphology in normal aging and Alzheimer's disease von Apostolova, L.G., Hwang, K.S., Andrawis, J., Green, A.E., Babakchanian, S., Morra, J.H., Cummings, J.L., Toga, A.W., Jack, C.R., Weiner, M.W., Thompson, P.M.

“… Methods We used an automated machine learning algorithm, based on adaptive boosting, to segment 3D surface models of the hippocampi in baseline 3D T1-weighted brain MRI scans of 282 ADNI subjects …”
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