Machine Learning-Based Mortality Prediction Model for Critically Ill Cancer Patients Admitted to the Intensive Care Unit (CanICU)

SIMPLE SUMMARY: This study describes a new machine-learning-based 28-day mortality prediction model in adult cancer patients admitted to the intensive care unit (ICU). A total of 6900 patients in three patient cohorts were used for the development, internal validation, and external validation, respe...

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Detalles Bibliográficos
Autores principales: Ko, Ryoung-Eun, Cho, Jaehyeong, Shin, Min-Kyue, Oh, Sung Woo, Seong, Yeonchan, Jeon, Jeongseok, Jeon, Kyeongman, Paik, Soonmyung, Lim, Joon Seok, Shin, Sang Joon, Ahn, Joong Bae, Park, Jong Hyuck, You, Seng Chan, Kim, Han Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913129/
https://www.ncbi.nlm.nih.gov/pubmed/36765528
http://dx.doi.org/10.3390/cancers15030569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913129/
https://www.ncbi.nlm.nih.gov/pubmed/36765528
http://dx.doi.org/10.3390/cancers15030569

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