Marcos DelPozo‐Baños
Biographic Data
| ID | 7968264 |
|---|---|
| NAME | Marcos DelPozo‐Baños |
| GIVEN NAMES | Marcos |
| FAMILY NAME | DelPozo‐Baños |
| SIGNATURE | BAÑOS M D |
| AFFILIATIONS | Swansea University |
| ORCID | 0000-0003-1502-389X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Machine learning in mental health and its relationship with epidemiological practice
Keywords: mental health, epidemiology, machine learning, research methods, challenges and opportunities
Self‐harm, in‐person bullying and cyberbullying in secondary school‐aged children
INTRODUCTION: Although the evidence base on bullying victimization and self-harm in young people has been growing, most studies were cross-sectional, relied on self-reported non-validated measures of self-harm, and did not separate effects of in-person and cyberbullying. This study aimed to assess associations of self-harm following in-person bullying at school and cyberbullying victimization controlling for covariates. METHODS: School survey dat…
Patterns of engagement in a digital mental health service during Covid-19
Our study identified changes in user activity and engagement behavior within a digital mental healthcare service during the COVID-19 pandemic. These findings suggest that usage patterns within digital mental health services may be susceptible to change in response to external events such as a pandemic. Continuous monitoring of engagement patterns is important for informed design and personalized interventions
Suicide trends in the early months of the Covid-19 pandemic
No prominent works on this page.
Suicide trends in the early months of the Covid-19 pandemic
Self‐harm, in‐person bullying and cyberbullying in secondary school‐aged children
INTRODUCTION: Although the evidence base on bullying victimization and self-harm in young people has been growing, most studies were cross-sectional, relied on self-reported non-validated measures of self-harm, and did not separate effects of in-person and cyberbullying. This study aimed to assess associations of self-harm following in-person bullying at school and cyberbullying victimization controlling for covariates. METHODS: School survey dat…
Patterns of engagement in a digital mental health service during Covid-19
Our study identified changes in user activity and engagement behavior within a digital mental healthcare service during the COVID-19 pandemic. These findings suggest that usage patterns within digital mental health services may be susceptible to change in response to external events such as a pandemic. Continuous monitoring of engagement patterns is important for informed design and personalized interventions
Machine learning in mental health and its relationship with epidemiological practice
Keywords: mental health, epidemiology, machine learning, research methods, challenges and opportunities
Medicine (4 works) · Mental health (3 works) · Psychiatry (3 works) · Psychology (3 works) · Clinical Psychology (2 works) · COVID-19 and Mental Health (2 works) · Medical emergency (2 works) · Pandemic (2 works) · Poison control (2 works) · Suicide and Self-Harm Studies (2 works)