A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis
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Date
2018
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Journal
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Publisher
[Setúbal, Portugal] : SCITEPRESS - Science and Technology Publications, Lda.
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Abstract
Sepsis is still a little acknowledged public health issue, despite its increasing incidence and the growing mortality rate. In addition, a clear diagnosis can be lengthy and complicated, due to highly variable symptoms and non-specific criteria, causing the disease to be diagnosed and treated too late. This paper presents the HemoSpec platform, a decision support system which, by collecting and automatically processing data from several acquisition devices, can help in the early diagnosis of sepsis.
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Keywords
Blood Testing, Data Analysis, Early Diagnosis, Sepsis, Septic Shock, Konferenzschrift
Citation
Campos, D., Pinho, R., Neugebauer, U., Popp, J., & Oliveira, J. L. (2018). A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis (R. Zwiggelaar, H. Gamboa, A. Fred, & S. Bermúdez i Badia, eds.). [Setúbal, Portugal] : SCITEPRESS - Science and Technology Publications, Lda. https://doi.org//10.5220/0006579104080413
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License
CC BY-NC-ND 4.0 Unported