136 citations · 137 across the 2 of their papers we have counts for
2 papers
stat.ML2020★ 1 cited
On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice
Milena Čukić Radenković, David Pokrajac, Victoria Lopez
After performing comparison of the performance of seven different machine learning models on detection depression tasks to show that the choice of features is essential, we compare…
stat.ML2018★ 136 cited
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression
Milena Cukic, David Pokrajac, Miodrag Stokic +3
Reliable diagnosis of depressive disorder is essential for both optimal treatment and prevention of fatal outcomes. In this study, we aimed to elucidate the effectiveness of two no…