Predictive Models and Features of Patient Mortality across Dementia Types

Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to identify patients at risk of near-term mortality. Here, we developed machine learning models predicting survival using a dataset of 45,275 unique participants and 163,7...

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Detalles Bibliográficos
Autores principales: Zhang, Jimmy, Song, Luo, Chan, Kwun, Miller, Zachary, Huang, Kuan-lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882612/
https://www.ncbi.nlm.nih.gov/pubmed/36711767
http://dx.doi.org/10.21203/rs.3.rs-2350961/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882612/
https://www.ncbi.nlm.nih.gov/pubmed/36711767
http://dx.doi.org/10.21203/rs.3.rs-2350961/v1

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