Maurício Rech
Biographic Data
| ID | 7232264 |
|---|---|
| NAME | Maurício Rech |
| GIVEN NAMES | Maurício |
| FAMILY NAME | Rech |
| SIGNATURE | RECH M |
| AFFILIATIONS | Universidade Federal de Ciências da Saúde de Porto Alegre |
| ORCID | 0000-0001-5297-5211 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review
Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: “How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students?”, we aimed to evaluate the performance of these models. PubMed, Embase, PsycINFO, and Web of Science databases were searched, aiming at …
Association of Emotional Self-Regulation with Psychological Distress and Positive Functioning Dimensions in Brazilian University Students during the Covid-19 Pandemic
Emotional self-regulation is a relevant factor for human development capable of minimizing emotional difficulties in the face of adverse events, as was particularly useful during the COVID-19 pandemic. The present study aimed to evaluate emotional self-regulation in Brazilian health science university students and its relationship with positive psychology constructs (subjective well-being, hope, optimism, spirituality, self-compassion, and self-e…
No prominent works on this page.
Association of Emotional Self-Regulation with Psychological Distress and Positive Functioning Dimensions in Brazilian University Students during the Covid-19 Pandemic
Emotional self-regulation is a relevant factor for human development capable of minimizing emotional difficulties in the face of adverse events, as was particularly useful during the COVID-19 pandemic. The present study aimed to evaluate emotional self-regulation in Brazilian health science university students and its relationship with positive psychology constructs (subjective well-being, hope, optimism, spirituality, self-compassion, and self-e…
How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review
Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: “How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students?”, we aimed to evaluate the performance of these models. PubMed, Embase, PsycINFO, and Web of Science databases were searched, aiming at …
Anxiety (1 work) · Association (psychology (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 and Mental Health (1 work) · Emotional distress (1 work) · Emotional dysregulation (1 work) · Medicine (1 work) · Mental health (1 work)