loading
Papers

Research.Publish.Connect.

Paper

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

ISBN: 978-989-758-281-3

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.208.159.25

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 5: HEALTHINF, ISBN 978-989-758-281-3, 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 - Volume 5: HEALTHINF,},
year={2018},
pages={408-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006579104080413},
isbn={978-989-758-281-3},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - 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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.