A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis
dc.bibliographicCitation.bookTitle | BIOSTEC 2018 : Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 5) | eng |
dc.bibliographicCitation.firstPage | 408 | |
dc.bibliographicCitation.lastPage | 413 | |
dc.contributor.author | Campos, David | |
dc.contributor.author | Pinho, Renato | |
dc.contributor.author | Neugebauer, Ute | |
dc.contributor.author | Popp, Juergen | |
dc.contributor.author | Oliveira, José Luis | |
dc.contributor.editor | Zwiggelaar, Reyer | |
dc.contributor.editor | Gamboa, Hugo | |
dc.contributor.editor | Fred, Ana | |
dc.contributor.editor | Bermúdez i Badia, Sergi | |
dc.date.accessioned | 2023-01-20T08:11:29Z | |
dc.date.available | 2023-01-20T08:11:29Z | |
dc.date.issued | 2018 | |
dc.description.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. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/10968 | |
dc.identifier.uri | http://dx.doi.org/10.34657/9994 | |
dc.language.iso | eng | |
dc.publisher | [Setúbal, Portugal] : SCITEPRESS - Science and Technology Publications, Lda. | |
dc.relation.doi | https://doi.org/10.5220/0006579104080413 | |
dc.relation.essn | 2184-4305 | |
dc.relation.isbn | 978-989-758-281-3 | |
dc.rights.license | CC BY-NC-ND 4.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.ddc | 610 | |
dc.subject.ddc | 004 | |
dc.subject.gnd | Konferenzschrift | ger |
dc.subject.other | Blood Testing | eng |
dc.subject.other | Data Analysis | eng |
dc.subject.other | Early Diagnosis | eng |
dc.subject.other | Sepsis | eng |
dc.subject.other | Septic Shock | eng |
dc.title | A Computational Pipeline for Sepsis Patients’ Stratification and Diagnosis | eng |
dc.type | BookPart | eng |
dc.type | Text | eng |
dcterms.event | 11th International Joint Conference on Biomedical Engineering Systems and Technologies, January 19-21, 2018, Funchal, Madeira, Portugal | |
tib.accessRights | openAccess | eng |
wgl.contributor | IPHT | |
wgl.subject | Medizin, Gesundheit | ger |
wgl.subject | Informatik | ger |
wgl.type | Buchkapitel / Sammelwerksbeitrag | ger |
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