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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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