Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/9911| Title: | Predicting psychological distress during COVID-19: A machine learning approach |
| Authors: | Prout, Tracy A. Zilcha-Mano, Sigal Aafjes-van Doorn, Katie Békés, Vera Christman-Cohen, Isabelle Whistler, Kathryn Kui, Thomas Di Giuseppe, Mariagrazia 0000-0002-3650-5890 |
| Keywords: | COVID-19 psychological distress |
| Issue Date: | 2020 |
| Publisher: | Frontiers Media S.A |
| Citation: | Prout, T.A., Zilcha-Mano, S., Aafjes-van Doorn, K., Békés, V., Christman-Cohen, I., Whistler, K., Kui, T., & Di Giuseppe, M. (2020). Predicting psychological distress during COVID-19: A machine learning approach. Frontiers in Psychology. |
| Series/Report no.: | Frontiers in Psychology.; |
| Abstract: | Predicting psychological distress during COVID-19. Using machine learning approach |
| Description: | Scholarly article |
| URI: | https://hdl.handle.net/20.500.12202/9911 |
| Appears in Collections: | Ferkauf Graduate School of Psychology: Faculty Publications |
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