Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms
M Bahrami, M Forouzanfar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …
Monkeypox diagnosis with interpretable deep learning
As the world gradually recovers from the impacts of COVID-19, the recent global spread of
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
[HTML][HTML] Engaging adolescents in contemporary longitudinal health research: Strategies for promoting participation and retention
AL Murray, T Xie - Journal of Adolescent Health, 2023 - Elsevier
Purpose High (and nonselective) recruitment and retention rates in longitudinal studies of
adolescence are essential for illuminating health trajectories and determinants during this …
adolescence are essential for illuminating health trajectories and determinants during this …
[HTML][HTML] Game elements enhance engagement and mitigate attrition in online learning tasks
A growing body of literature suggests that adding game elements to learning tasks indirectly
influences the learning process by increasing engagement with the tasks. The present study …
influences the learning process by increasing engagement with the tasks. The present study …
[HTML][HTML] Trauma Shaping the Psychopathological Correlates of Patients with Long-COVID: A 6-Months Longitudinal Study with Repeated Measures Mixed Models
This research aimed at investigating how the experience of trauma can influence the
psychological correlates of long-COVID over time in a clinical sample of patients …
psychological correlates of long-COVID over time in a clinical sample of patients …
Predicting lifetime suicide attempts in a community sample of adolescents using machine learning algorithms
Suicide is a major global health concern and a prominent cause of death in adolescents.
Previous research on suicide prediction has mainly focused on clinical or adult samples. To …
Previous research on suicide prediction has mainly focused on clinical or adult samples. To …
Machine learning applications in the development of sustainable building materials to reduce carbon emission
Concrete is the most commonly used construction material and the source of around 8% of
the world's CO 2 emissions, which is very alarming to the environment. Therefore, to reduce …
the world's CO 2 emissions, which is very alarming to the environment. Therefore, to reduce …
Grant Proposal: Personality Computing Network (PCN)
R Schoedel, E Grunenberg - 2023 - psyarxiv.com
This preprint was part of a proposal for the acquisition of a scientific network, the Personality
Computing Network (PCN). Computational modeling approaches to personality are still in …
Computing Network (PCN). Computational modeling approaches to personality are still in …
Predicting Juvenile Delinquency and Criminal Behavior in Adulthood Using Machine Learning
U Schroeders, A Mariss, K Jankowsky - 2023 - osf.io
By violating social norms, deviant behavior is an important issue that affects society as a
whole and also has serious consequences for its individuals. Different scientific disciplines …
whole and also has serious consequences for its individuals. Different scientific disciplines …
Teachers' Perceptions on the Implementation of Behavioral Intervention Initiatives in Alternate Schools: A Phenomenological Study
T McCreary - 2023 - digitalcommons.liberty.edu
The purpose of this qualitative transcendental phenomenological study was to understand
the teachers' perceptions of the implementation of behavior intervention initiatives in …
the teachers' perceptions of the implementation of behavior intervention initiatives in …