Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score

Background and objectives: Little is known about outcome improvements and disparities in cardiac arrest and active cancer. We performed the first known AI and propensity score (PS)-augmented clinical, cost-effectiveness, and computational ethical analysis of cardio-oncology cardiac arrests including...

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Detalles Bibliográficos
Autores principales: Monlezun, Dominique J., Sinyavskiy, Oleg, Peters, Nathaniel, Steigner, Lorraine, Aksamit, Timothy, Girault, Maria Ines, Garcia, Alberto, Gallagher, Colleen, Iliescu, Cezar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412828/
https://www.ncbi.nlm.nih.gov/pubmed/36013506
http://dx.doi.org/10.3390/medicina58081039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412828/
https://www.ncbi.nlm.nih.gov/pubmed/36013506
http://dx.doi.org/10.3390/medicina58081039

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