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Protocol: Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol.
2022
Bilal A. M., Fransson E., Bränn E., Eriksson A., Zhong M., Gidén K., Elofsson U., Axfors C., Skalkidou A., & Papadopoulos F. C.
Read the full paper here: https://bmjopen.bmj.com/content/bmjopen/12/4/e059033.full.pdf
Differentiated mental health patterns in pregnancy during COVID-19 first two waves in Sweden: a mixed methods study using digital phenotyping.
2022
Fransson E., Karalexi M., Kimmel M., Bränn E., Kollia N., Tas A., van Zoest V., Nordling E., Skalkidou A., & Papadopoulos F. C.
Read the full paper here: https://www.nature.com/articles/s41598-022-25107-3
Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study.
2022
Zhong M., van Zest V., Bilal A. M., Papadopoulos F. C., & Castellano G.
Read the full paper here: https://dl.acm.org/doi/10.1145/3536221.3556605
Perinatal mental health: how nordic data sources have contributed to existing evidence and future avenues to explore.
2022
Karalexi M.A., Eberhard-Gran M., Valdimarsdóttir U.A., Karlsson A., Munk-Olson T., & Skalkidou A.
Read the full paper here: https://www.tandfonline.com/doi/epub/10.1080/08039488.2021.1998616?needAccess=true
