Comparative Analysis of Three Machine-Learning Techniques and Conventional Techniques for Predicting Sepsis-Induced Coagulopathy Progression

Sepsis-induced coagulopathy has poor prognosis; however, there is no established tool for predicting it. We aimed to create predictive models for coagulopathy progression using machine-learning techniques to evaluate predictive accuracies of machine-learning and conventional techniques. A post-hoc s...

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Detalles Bibliográficos
Autores principales: Hasegawa, Daisuke, Yamakawa, Kazuma, Nishida, Kazuki, Okada, Naoki, Murao, Shuhei, Nishida, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408668/
https://www.ncbi.nlm.nih.gov/pubmed/32635574
http://dx.doi.org/10.3390/jcm9072113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408668/
https://www.ncbi.nlm.nih.gov/pubmed/32635574
http://dx.doi.org/10.3390/jcm9072113

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