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I research the applications of data science to mental health and well-being data. Most recently this has included the use of social media data as a digital phenotype for mental health in birth cohorts, as well as the public acceptability and responsible development of new data science technologies.
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Tanner, A., Di Cara, N. H., Maggio, V., Thomas, R. G., Boyd, A., Sloan, L., Al Baghal, T., Macleod, J. A. A., Haworth, C. M. A. & Davis, O. S. P., 1 Jun 2023, In: International Journal of Epidemiology. 52, 3, p. 952-957 6 p., dyad020.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile9 Downloads (Pure)
Longitudinal reliability of Twitter sentiment for measuring mental health and well-being in a UK birth cohortDi Cara, N. H., Davis, O. S. P. & Haworth, C. M. A., 18 Sept 2023.
Research output: Contribution to conference › Conference Abstract › peer-reviewOpen Access
Di Cara, N. H., Maggio, V., Davis, O. S. P. & Haworth, C. M. A., 8 May 2023, In: Journal of Medical Internet Research. 25, 21 p., e42734 .
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen Access4 Citations (Scopus)
Di Cara, N. H., 27 Sept 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)File