Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG Dos Santos, FG Zampieri, K Normilio-Silva… - Journal of Critical …, 2020 - Elsevier
Purpose To develop and compare the predictive performance of machine-learning
algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 …
被引用次数：17 相关文章

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG SANTOS, FG ZAMPIERI… - Journal of Critical …, 2020 - observatorio.fm.usp.br
Purpose: To develop and compare the predictive performance ofmachine-learning
algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 …

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG Dos Santos, FG Zampieri… - … of critical care, 2020 - pubmed.ncbi.nlm.nih.gov
Purpose To develop and compare the predictive performance of machine-learning
algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 …

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.

HGD Santos, FG Zampieri, K Normilio-Silva… - Journal of Critical …, 2019 - europepmc.org
Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.
- Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu About …

[引用][C] Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG Santos, FG Zampieri, K Normilio-Silva… - Journal of Critical …, 2020 - repositorio.usp.br
ReP USP - Detalhe do registro: Machine learning to predict 30-day quality-adjusted survival in
critically ill patients with cancer Home About USP Schools USP Schools Escola de Artes …

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG dos Santos, FG Zampieri… - … OF CRITICAL CARE, 2020 - bv.fapesp.br
Purpose: To develop and compare the predictive performance ofmachine-learning
algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 …

[引用][C] Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG Santos, FG Zampieri, K Normilio-Silva… - Journal of Critical …, 2020 - repositorio.usp.br
ReP USP - Detalhe do registro: Machine learning to predict 30-day quality-adjusted survival in
critically ill patients with cancer Home About USP Schools USP Schools Escola de Artes …