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Correlation between COVID-19 pandemic, emotion intelligence and depressionZineldin, Mosad; Farhat, Anotine; Sogomonjan, MelitaActa scientific neurology2021 / p. 54-58 : ill https://doi.org/10.31080/ASNE.2021.04.0335

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Editorial: Innovations in depression diagnosis and treatment outcome monitoringČukić, Milena B.; Savić, Danka; Bachmann, MaieFrontiers in digital health2023 / art. 1224999, 3 p https://doi.org/10.3389/fdgth.2023.1224999 Journal metrics at Scopus Article at Scopus Article at WOS

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EEG spectral asymmetry index for detection of depression at individual and fixed frequency bands [Electronic resource]Suhhova, Anna; Bachmann, Maie; Lass, Jaanus; Aadamsoo, Kaire; Võhma, Ülle; Hinrikus, HiieWorld Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China2012 / p. 589-592 : ill [CD-ROM] https://link.springer.com/chapter/10.1007/978-3-642-29305-4_154 Conference Proceedings at Scopus Article at Scopus

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Effect of negative and positive emotions on EEG spectral asymmetryPäeske, Laura; Bachmann, Maie; Lass, Jaanus; Hinrikus, Hiie2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)2015 / p. 8107 - 8110 https://doi.org/10.1109/EMBC.2015.7320275

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Ensemble approach for detection of depression using EEG featuresAvots, Egils; Jermakovs, Klavs; Bachmann, Maie; Päeske, Laura; Ozcinar, Cagri; Anbarjafari, GholamrezaEntropy2022 / art. 211 https://doi.org/10.3390/e24020211 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745

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Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal

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Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987

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Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

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Fractal analysis of electrophysiological signals to detect and monitor depression : what we know so far?Čukić, Milena; Olejarzcyk, Elzbieta; Bachmann, MaieThe Fractal Geometry of the Brain2024 / p. 677 - 692 https://doi.org/10.1007/978-3-031-47606-8_34 Article collection metrics at Scopus Article at Scopus

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Higuchi’s fractal dimension for analysis of the effect of microwave exposure in depressionBachmann, Maie; Suhhova, Anna; Lass, Jaanus; Aadamsoo, Kaire; Võhma, Ülle; Hinrikus, HiieProceedings : 7th International Workshop on Biological Effects of Electromagnetic Field : October 2012 (Malta)2012 / 4 p. : ill

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Lempel-Ziv and multiscale Lempel-Ziv complexity in depressionKalev, Kaia; Bachmann, Maie; Päeske, Laura; Lass, Jaanus; Hinrikus, Hiie2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)2015 / art. 7319310 https://doi.org/10.1109/EMBC.2015.7319310

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