Cargando…
Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay
People with diabetes mellitus (DM) are at elevated risk of in-hospital mortality from coronavirus disease-2019 (COVID-19). This vulnerability has spurred efforts to pinpoint distinctive characteristics of COVID-19 patients with DM. In this context, the present article develops ML models equipped wit...
Autores principales: | Khadem, Heydar, Nemat, Hoda, Elliott, Jackie, Benaissa, Mohammed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692305/ https://www.ncbi.nlm.nih.gov/pubmed/36433354 http://dx.doi.org/10.3390/s22228757 |
Ejemplares similares
-
COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework
por: Khadem, Heydar, et al.
Publicado: (2022) -
Blood Glucose Level Time Series Forecasting: Nested Deep Ensemble Learning Lag Fusion
por: Khadem, Heydar, et al.
Publicado: (2023) -
Interpretable machine learning prediction of all-cause mortality
por: Qiu, Wei, et al.
Publicado: (2022) -
Experiences of Fathers with Inpatient Premature Neonates: Phenomenological Interpretative Analysis
por: Dadkhahtehrani, Tahmineh, et al.
Publicado: (2018) -
Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
por: Shim, Soyun, et al.
Publicado: (2022)