Predicting the Mortality of ICU Patients by Topic Model with Machine-Learning Techniques

Predicting clinical patients’ vital signs is a leading critical issue in intensive care units (ICUs) related studies. Early prediction of the mortality of ICU patients can reduce the overall mortality and cost of complication treatment. Some studies have predicted mortality based on electronic healt...

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Detalles Bibliográficos
Autores principales: Chiu, Chih-Chou, Wu, Chung-Min, Chien, Te-Nien, Kao, Ling-Jing, Qiu, Jiantai Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222812/
https://www.ncbi.nlm.nih.gov/pubmed/35742138
http://dx.doi.org/10.3390/healthcare10061087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222812/
https://www.ncbi.nlm.nih.gov/pubmed/35742138
http://dx.doi.org/10.3390/healthcare10061087

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