Article Versions Notes

Gubics F, Nagy Á, Dombi J, Pálfi A, Szabó Z, Viharos ZJ, Hoang AT, Bilicki V, Szendi I. A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students. Diagnostics. 2025; 15(4):454. https://doi.org/10.3390/diagnostics15040454

Gubics, Flórián, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, and István Szendi. 2025. "A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students" Diagnostics 15, no. 4: 454. https://doi.org/10.3390/diagnostics15040454

Gubics, F., Nagy, Á., Dombi, J., Pálfi, A., Szabó, Z., Viharos, Z. J., Hoang, A. T., Bilicki, V., & Szendi, I. (2025). A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students. Diagnostics, 15(4), 454. https://doi.org/10.3390/diagnostics15040454