Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Nina H. Di Cara"'
Autor:
Nina H. Di Cara, Andy Boyd, Alastair R. Tanner, Tarek Al Baghal, Lisa Calderwood, Luke S. Sloan, Oliver S. P. Davis, Claire M. A. Haworth
Publikováno v:
Wellcome Open Research, Vol 5 (2020)
Background: Cohort studies gather huge volumes of information about a range of phenotypes but new sources of information such as social media data are yet to be integrated. Participant’s long-term engagement with cohort studies, as well as the pote
Externí odkaz:
https://doaj.org/article/8f1a830ab6264e5e891506b66b8c8050
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42734 (2023)
BackgroundThe use of social media data to predict mental health outcomes has the potential to allow for the continuous monitoring of mental health and well-being and provide timely information that can supplement traditional clinical assessments. How
Externí odkaz:
https://doaj.org/article/add2ec4c86e845fab381f34e2b1e1342
Autor:
Nina H Di Cara, Jiao Song, Valerio Maggio, Christopher Moreno-Stokoe, Alastair R Tanner, Benjamin Woolf, Oliver S P Davis, Alisha Davies
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 4 (2021)
Background Disasters such as the COVID-19 pandemic pose an overwhelming demand on resources that cannot always be met by official organisations. Limited resources and human response to crises can lead members of local communities to turn to one anoth
Externí odkaz:
https://doaj.org/article/6c63deac18614f8ba9fa55bece82c4a0
Autor:
Alastair R Tanner, Nina H Di Cara, Valerio Maggio, Richard Thomas, Andy Boyd, Luke Sloan, Tarek Al Baghal, John Macleod, Claire M A Haworth, Oliver S P Davis
Publikováno v:
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 2023, ' Epicosm — a framework for linking online social media in epidemiological cohorts ', International Journal of Epidemiology, vol. 52, no. 3, dyad020, pp. 952-957 . https://doi.org/10.1093/ije/dyad020
MotivationSocial media represent an unrivalled opportunity for epidemiological cohorts to collect large amounts of high-resolution time course data on mental health. Equally, the high-quality data held by epidemiological cohorts could greatly benefit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f3da9aa314555b2f28004780aa6a673
https://hdl.handle.net/1983/b82301d2-7726-45a2-8a11-fe010759d1e3
https://hdl.handle.net/1983/b82301d2-7726-45a2-8a11-fe010759d1e3
Autor:
Natalie Zelenka, Nina H. Di Cara, Euan Bennet, Vanessa Hanschke, Emma Kuwertz, Ismael Kherroubi Garcia, Susana Roman Garcia
The use of data-intensive methods for tasks which impact peoples’ lives continues to accelerate. This has resulted in several high-profile, seemingly avoidable, ethical mistakes. Despite this, those with the power to change how data science is deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b780409f0ad332ad4e5ce9e8636cdef
https://doi.org/10.31219/osf.io/hzmyp
https://doi.org/10.31219/osf.io/hzmyp
BACKGROUND The use of social media data to predict mental health outcomes has the potential to allow for the continuous monitoring of mental health and well-being and provide timely information that can supplement traditional clinical assessments. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d479c8b0a808d726fd7198f969452529
https://doi.org/10.2196/preprints.42734
https://doi.org/10.2196/preprints.42734
Background : The use of social media data in predicting mental health outcomes has the potential to allow for continuous monitoring of mental health and well-being, and to provide timely information that can supplement traditional clinical assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da45dba56927c2c7af446bcb2f2a3fa4
https://doi.org/10.31219/osf.io/4sne7
https://doi.org/10.31219/osf.io/4sne7
Publikováno v:
Di Cara, N, Winstone, L, Sloan, L S, Davis, O S P & Haworth, C M A 2022, ' The mental health and well-being profile of young adults using social media ', npj Mental Health Research, vol. 1, 11, pp. 1-11 . https://doi.org/10.31234/osf.io/3bqvz, https://doi.org/10.1038/s44184-022-00011-w
The relationship between mental health and social media has received significant research and policy attention. However, there is little population-representative data about who social media users are which limits understanding of confounding factors
Autor:
Nina H Di Cara, Gibran Hemani, George Davey Smith, Christopher Moreno-Stokoe, Marcus R. Munafò, Katie Drax, Julian P T Higgins, James Yarmolinsky, Benjamin Woolf, Veronika Skrivankova, Rebecca C Richmond
BackgroundTwo-sample Mendelian randomization (2SMR) is an increasingly popular epidemiological method that uses genetic variants as instruments for making causal inferences. Clear reporting of methods employed in such studies is important for evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f28dfc6fb2c2cbfff10088e59670b19
https://doi.org/10.1101/2021.10.15.21264972
https://doi.org/10.1101/2021.10.15.21264972
Autor:
Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D. S. Bennet, Vanessa Hanschke, Valerio Maggio, Ola Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin, Zoë Turner, Kamilla Wells
Publikováno v:
Di Cara, N, Zelenka, N R, Day, H, Bennet, E D S, Hanschke, V A, Maggio, V, Michalec, O, Radclyffe, C J D, Shkunov, R, Tonkin, E L, Turner, Z & Wells, K 2022, ' Data Ethics Club : Creating a collaborative space to discuss data ethics ', Patterns, vol. 3, no. 7, 100537 . https://doi.org/10.1016/j.patter.2022.100537
Awareness and management of ethical issues in data science is becoming increasingly relevant to us all, and a crucial skill for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to all