Cargando…
Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of hospital readmissions. Few existing tools use electronic health record (EHR) data to forecast patients’ readmission risk during index hospitalizations. OBJECTIVE: We used machine learning and in-hospital data to model 90-...
Autores principales: | Bonomo, Matthew, Hermsen, Michael G, Kaskovich, Samuel, Hemmrich, Maximilian J, Rojas, Juan C, Carey, Kyle A, Venable, Laura Ruth, Churpek, Matthew M, Press, Valerie G |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590342/ https://www.ncbi.nlm.nih.gov/pubmed/36299799 http://dx.doi.org/10.2147/COPD.S379700 |
Ejemplares similares
-
The Laboratory-Based Intermountain Validated Exacerbation (LIVE) Score Identifies Chronic Obstructive Pulmonary Disease Patients at High Mortality Risk
por: Blagev, Denitza P., et al.
Publicado: (2018) -
Combining patient visual timelines with deep learning to predict mortality
por: Mayampurath, Anoop, et al.
Publicado: (2019) -
Weak Handgrip at Index Admission for Acute Exacerbation of COPD Predicts All-Cause 30-Day Readmission
por: Witt, Leah J., et al.
Publicado: (2021) -
Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019
por: Mayampurath, Anoop, et al.
Publicado: (2022) -
Laboratory-based Intermountain Validated Exacerbation (LIVE) Score stability in patients with chronic obstructive pulmonary disease
por: Blagev, Denitza P, et al.
Publicado: (2020)