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 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, HiieIFMBE proceedings ; Vol. 392012 / p. 589-592 : ill [CD-ROM] 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 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 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 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 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 Occupational health care personnel tackling alcohol overuse - an observational study of work processes and patient characteristicsKuronen, Jarmo; Winell, Klas; Hartšenko, Jelena; Räsänen, KimmoBMC Public Health2022 / art. 67 https://doi.org/10.1186/s12889-021-12473-2 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS 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 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 A review article on Internet-based psychological interventions in primary care. What is the global experience? How reliable are results from RCTs? Lessons learned from the European, US and Australian case studiesSogomonjan, Melita; Kerikmäe, Tanel; Ööpik, PilleBaltic journal of European studies2018 / p. 145-163 : ill https://content.sciendo.com/view/journals/bjes/8/2/article-p145.xml https://doi.org/10.1515/bjes-2018-0019 Journal metrics at Scopus Article at Scopus Article at WOS 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