Valerio Maggio

lmcinnes/umap: release-0.5.12

Leland McInnes, Valerio Maggio, James Melville, Paxton C. Fitzpatrick et autres

What's Changed Remove nomic atlas reference from plotting.rst by @cakiki in https://github.com/lmcinnes/umap/pull/1238 [MINOR] Update README.rst by @cakiki in https://github.com/lmcinnes/umap/pull/1241 Remove more atlas references / fix doc build warnings by @cakiki in https://github.com/lmcinnes/umap/pull/1243 Fix for #1180 and #1200 - NaN loss on Parametric …

us, gb, ca, de, in, se, vn, dk (code pays fourni par la source)

lmcinnes/umap: release-0.5.11

Leland McInnes, Valerio Maggio, James Melville, Paxton C. Fitzpatrick et autres

What's Changed Deterministic sort for fast_knn_indices by @bohemian-miser in https://github.com/lmcinnes/umap/pull/1236 New Contributors @bohemian-miser made their first contribution in https://github.com/lmcinnes/umap/pull/1236 Full Changelog: https://github.com/lmcinnes/umap/compare/release-0.5.10.post2...release-0.5.11

us, gb, ca, in, se, vn, dk (code pays fourni par la source)

Twitter data as a linked digital phenotype in the Avon Longitudinal Study of Parents and Children

Nina H. Di Cara, Daniel Joinson, Mark Mummé, Alastair R. Tanner et autres

This data note describes the collection and linkage of participants' Twitter data as a digital phenotype in the Avon Longitudinal Study of Parents and Children (ALSPAC) multi-generational birth cohort study. Twitter (renamed X in 2023) is a social media platform based around …

SEQC dataset

Valerio Maggio

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Nina H. Di Cara, Valerio Maggio, Oliver S. P. Davis, Claire M. A. Haworth

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. However, it is crucial that the …

gb (code pays fourni par la source)

Epicosm—a framework for linking online social media in epidemiological cohorts

Alastair R. Tanner, Nina H. Di Cara, Valerio Maggio, Richard Thomas et autres

MOTIVATION: Social 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 social media research as a source of ground truth …

gb (code pays fourni par la source)

Methodologies for monitoring mental health on Twitter: systematic review

Nina H. Di Cara, Valerio Maggio, Oliver S. P. Davis, Claire Haworth

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 assessments. However, it is crucial that …

Methodologies for Monitoring Mental Health on Twitter: Systematic Review (Preprint)

Nina H. Di Cara, Valerio Maggio, Oliver S. P. Davis, Claire M. A. Haworth

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. However, it is crucial that the …

gb (code pays fourni par la source)

Data Ethics Club: Creating a collaborative space to discuss data ethics

Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan David Bennet et autres

Awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological …

gb, au (code pays fourni par la source)

Data Ethics Club: creating a collaborative space to discuss data ethics

Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D. S. Bennet et autres

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 allow data science work to …

gb, au (code pays fourni par la source)

Understanding the potential and pitfalls of digital phenotypes to measure population mental health and wellbeing

Valerio Maggio, Nina H. Di Cara, Alastair R. Tanner, Claire M. A. Haworth et autres

gb (code pays fourni par la source)

Mapping Population Vulnerability and Community Support during COVID-19

Nina H. Di Cara, Jiao Song, Valerio Maggio, Christopher Moreno-Stokoe et autres

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 another to fulfil immediate …

gb (code pays fourni par la source)