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Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites

Abstract Background Automated systems that use machine learning to estimate a patient’s risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for implemented systems. Methods A prognostic study...

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Principais autores: Vincent J. Major, Yindalon Aphinyanaphongs
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2020-09-01
coleção:BMC Medical Informatics and Decision Making
Assuntos:
Mortality prediction
Palliative care
Supportive care
End-of-life care
Advance directives
Medical informatics
Acesso em linha:http://link.springer.com/article/10.1186/s12911-020-01235-6
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