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Authors: David Campos 1 ; Renato Pinho 1 ; Ute Neugebauer 2 ; Juergen Popp 3 and José Luis Oliveira 4

Affiliations: 1 BMD Software, Portugal ; 2 Jena University Hospital and Leibniz Institute of Photonic Technology, Germany ; 3 Leibniz Institute of Photonic Technology, Germany ; 4 University of Aveiro, Portugal

Keyword(s): Sepsis, Septic Shock, Early Diagnosis, Blood Testing, Data Analysis.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Health Information Systems ; Healthcare Management Systems ; Practice-based Research Methods for Healthcare IT

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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Paper citation in several formats:
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) - HEALTHINF; ISBN 978-989-758-281-3; ISSN 2184-4305, SciTePress, pages 408-413. DOI: 10.5220/0006579104080413

@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) - HEALTHINF},
year={2018},
pages={408-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006579104080413},
isbn={978-989-758-281-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - HEALTHINF
TI - A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis
SN - 978-989-758-281-3
IS - 2184-4305
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

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