Cargando…
Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People
BACKGROUND: From Ebola, Zika, to the latest COVID-19 pandemic, outbreaks of highly infectious diseases continue to reveal severe consequences of social and health inequalities. People from low socioeconomic and educational backgrounds as well as low health literacy tend to be affected by the uncerta...
Autores principales: | Xie, Wenxiu, Ji, Meng, Zhao, Mengdan, Lam, Kam-Yiu, Chow, Chi-Yin, Hao, Tianyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683224/ https://www.ncbi.nlm.nih.gov/pubmed/34925484 http://dx.doi.org/10.1155/2021/1916690 |
Ejemplares similares
-
Supporting Risk-Aware Use of Online Translation Tools in Delivering Mental Healthcare Services among Spanish-Speaking Populations
por: Xie, Wenxiu, et al.
Publicado: (2021) -
Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers
por: Xie, Wenxiu, et al.
Publicado: (2021) -
Probabilistic Prediction of Nonadherence to Psychiatric Disorder Medication from Mental Health Forum Data: Developing and Validating Bayesian Machine Learning Classifiers
por: Ji, Meng, et al.
Publicado: (2022) -
Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers
por: Xie, Wenxiu, et al.
Publicado: (2021) -
Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis
por: Shan, Yi, et al.
Publicado: (2022)