Cargando…
A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis
BACKGROUND: Proactive detection of mental health needs among people with diabetes mellitus could facilitate early intervention, improve overall health and quality of life, and reduce individual and societal health and economic burdens. Passive sensing and ecological momentary assessment are relative...
Autores principales: | Yu, Jessica, Chiu, Carter, Wang, Yajuan, Dzubur, Eldin, Lu, Wei, Hoffman, Julia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433872/ https://www.ncbi.nlm.nih.gov/pubmed/34448707 http://dx.doi.org/10.2196/27709 |
Ejemplares similares
-
The Effect of a Digital Mental Health Program on Anxiety and Depression Symptoms: Retrospective Analysis of Clinical Severity
por: Dzubur, Eldin, et al.
Publicado: (2023) -
Effects of a multiple chronic condition (CC) remote monitoring program on clinical outcomes among older adults
por: Dzubur, Eldin, et al.
Publicado: (2021) -
Effects of a multiple chronic condition (CC) remote monitoring program on clinical outcomes among older adults
por: Dzubur, Eldin, et al.
Publicado: (2021) -
Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity
por: Dunton, Genevieve Fridlund, et al.
Publicado: (2016) -
Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies
por: Adler, Daniel A., et al.
Publicado: (2022)