Cargando…
Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis
BACKGROUND: Asthma is a major chronic disease that poses a heavy burden on health care. To facilitate the allocation of care management resources aimed at improving outcomes for high-risk patients with asthma, we recently built a machine learning model to predict asthma hospital visits in the subseq...
Autores principales: | Luo, Gang, Johnson, Michael D, Nkoy, Flory L, He, Shan, Stone, Bryan L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808890/ https://www.ncbi.nlm.nih.gov/pubmed/33382379 http://dx.doi.org/10.2196/21965 |
Ejemplares similares
-
Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis
por: Luo, Gang, et al.
Publicado: (2020) -
Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis
por: Luo, Gang, et al.
Publicado: (2021) -
A systematic review of predictive models for asthma development in children
por: Luo, Gang, et al.
Publicado: (2015) -
Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis
por: Luo, Gang, et al.
Publicado: (2021) -
Predicting asthma control deterioration in children
por: Luo, Gang, et al.
Publicado: (2015)