A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis

David Campos, Renato Pinho, Ute Neugebauer, Juergen Popp, José Luis Oliveira

2018

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.

Paper Citation

in Harvard Style

Campos D., Pinho R., Neugebauer U., Popp J. and Oliveira J. (2018). A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF; ISBN 978-989-758-281-3, SciTePress, pages 408-413. DOI: 10.5220/0006579104080413

in Bibtex Style

@conference{healthinf18,
author={David Campos and Renato Pinho and Ute Neugebauer and Juergen Popp and José Luis Oliveira},
title={A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF},
year={2018},
pages={408-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006579104080413},
isbn={978-989-758-281-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF
TI - A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis
SN - 978-989-758-281-3
AU - Campos D.
AU - Pinho R.
AU - Neugebauer U.
AU - Popp J.
AU - Oliveira J.
PY - 2018
SP - 408
EP - 413
DO - 10.5220/0006579104080413
PB - SciTePress