Application of electroencephalographic signal based measures for early detection of depression symptoms in occupational health = Elektroentsefalograafilisel signaalil põhinevate indikaatorite kasutamine depressiooni sümptomite varaseks avastamiseks töötervishoiusPõld, Toomas2021 https://www.ester.ee/record=b5473276*est https://digikogu.taltech.ee/et/Item/c9b2a014-84fc-4003-88a2-85836830038a https://doi.org/10.23658/taltech.61/2021

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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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Final Trial Report 2nd Wave (cCBT)Txarramendieta, Jon; Fullaondo, Ana; Manuel Keenoy, Esteban de; Vis, Christiaan; Etzelmuller, Anne; Pinto, Ana G.; Sierra, Modesto; Piera, Jordi; Fernandez, Susana; Cavallo, Marco; Sogomonjan, Melita2017 https://doi.org/10.48726/0xye3-4e272

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Methods for classifying depression in single channel EEG using linear and nonlinear signal analysisBachmann, Maie; Päeske, Laura; Kalev, Kaia; Aarma, Katrin; Lehtmets, Andres; Ööpik, Pille; Lass, Jaanus; Hinrikus, HiieComputer methods and programs in biomedicine2018 / p. 11−17 : ill https://doi.org/10.1016/j.cmpb.2017.11.023 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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A report on the survey. Attitudes of Estonian healthcare professionals to internet-delivered cognitive behavioural therapySogomonjan, Melita; Kerikmäe, Tanel; Ööpik, Pille; Ross, PeeterCogent psychology2019 / art. 1637623, 12 p https://doi.org/10.1080/23311908.2019.1637623 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Resting EEG functional connectivity and graph theoretical measures for discrimination of depressionOrgo, Laura; Bachmann, Maie; Kalev, Kaia; Järvelaid, Mari; Raik, Jaan; Hinrikus, Hiie4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 : Orlando, Florida, USA, 16-19 February 20172017 / p. 389-392 : ill https://doi.org/10.1109/BHI.2017.7897287

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Single channel EEG analysis for detection of depressionBachmann, Maie; Lass, Jaanus; Hinrikus, HiieBiomedical signal processing and control2017 / p. 391-397 : ill https://doi.org/10.1016/j.bspc.2016.09.010

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Suur kõht = lühem elu ehk 6 eriti tõhusat tegurit, mis seda riski suurendavadViigimaa, MargusDirector2011 / 3, lk. 30-32 https://artiklid.elnet.ee/record=b2283769*est

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Temporal stability and correlation of EEG markers and depression questionnaires scores in healthy peoplePõld, Toomas; Päeske, Laura; Hinrikus, Hiie; Lass, Jaanus; Bachmann, MaieScientific reports2023 / art. 21996 https://doi.org/10.1038/s41598-023-49237-4

The importance of nutrition in mental healthKhalid, SadiaMedical students international2023 / p. 18-19 https://ifmsa.org/wp-content/uploads/2023/09/MSI-44-1-1.pdf

Threshold of radiofrequency electromagnetic field effect on human brainHinrikus, Hiie; Lass, Jaanus; Bachmann, MaieInternational journal of radiation biology2021 / p. 1505-1515 : ill https://doi.org/10.1080/09553002.2021.1969055 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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