Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals

Macarena Espinilla; Sixto Campaña; Jorge Londoño; Ángel Luis García-Fernández

doi:10.1007/978-3-319-48746-5_1

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals

Macarena Espinilla
, Sixto Campaña
, Jorge Londoño
, Ángel Luis García-Fernández

Information and Communication Technologies

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

1 Scopus citations

Abstract

This contribution presents a proposal for generating linguistic reports based on the study of biomedical signals of human patients. Although this topic is dealt in many previous works, there are challenges still open for the scientific community, such as the development of systems to produce reports and alerts using a human-friendly language. We present a brief review of some relevant previous works, as well as our proposal of a system based on fuzzy linguistic approach applied to the diagnosis of the preeclampsia disease that may affect pregnant women. Our system transforms numerical values of biomedical signals into linguistic values that are understandable information for the patients and the medical staff. The dataset used for testing the system contains real data from a study carried out by the Davinci UNAD Group (Colombia) on patients that suffer from preeclampsia.

Original language	English
Title of host publication	Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings
Editors	Pino Caballero-Gil, Carmelo R. García, Alexis Quesada-Arencibia, Mike Burmester
Publisher	Springer Verlag
Pages	3-14
Number of pages	12
ISBN (Print)	9783319487458
DOIs	https://doi.org/10.1007/978-3-319-48746-5_1
State	Published - 2016
Event	10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016 - San BartolomÃÂ© de Tirajana, Gran Canaria, Spain Duration: 29 Nov 2016 → 2 Dec 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10069 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016
Country/Territory	Spain
City	San BartolomÃÂ© de Tirajana, Gran Canaria
Period	29/11/16 → 2/12/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biomedical systems
Fuzzy linguistic intelligent systems
Fuzzy logic
Preeclampsia

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1007/978-3-319-48746-5_1

Cite this

Espinilla, M., Campaña, S., Londoño, J., & García-Fernández, Á. L. (2016). Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals. In P. Caballero-Gil, C. R. García, A. Quesada-Arencibia, & M. Burmester (Eds.), Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings (pp. 3-14). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10069 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48746-5_1

Espinilla, Macarena ; Campaña, Sixto ; Londoño, Jorge et al. / Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals. Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings. editor / Pino Caballero-Gil ; Carmelo R. García ; Alexis Quesada-Arencibia ; Mike Burmester. Springer Verlag, 2016. pp. 3-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This contribution presents a proposal for generating linguistic reports based on the study of biomedical signals of human patients. Although this topic is dealt in many previous works, there are challenges still open for the scientific community, such as the development of systems to produce reports and alerts using a human-friendly language. We present a brief review of some relevant previous works, as well as our proposal of a system based on fuzzy linguistic approach applied to the diagnosis of the preeclampsia disease that may affect pregnant women. Our system transforms numerical values of biomedical signals into linguistic values that are understandable information for the patients and the medical staff. The dataset used for testing the system contains real data from a study carried out by the Davinci UNAD Group (Colombia) on patients that suffer from preeclampsia.",

keywords = "Biomedical systems, Fuzzy linguistic intelligent systems, Fuzzy logic, Preeclampsia",

author = "Macarena Espinilla and Sixto Campa{\~n}a and Jorge Londo{\~n}o and Garc{\'i}a-Fern{\'a}ndez, \{{\'A}ngel Luis\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016 ; Conference date: 29-11-2016 Through 02-12-2016",

year = "2016",

doi = "10.1007/978-3-319-48746-5\_1",

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editor = "Pino Caballero-Gil and Garc{\'i}a, \{Carmelo R.\} and Alexis Quesada-Arencibia and Mike Burmester",

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Espinilla, M, Campaña, S, Londoño, J & García-Fernández, ÁL 2016, Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals. in P Caballero-Gil, CR García, A Quesada-Arencibia & M Burmester (eds), Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10069 LNCS, Springer Verlag, pp. 3-14, 10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016, San BartolomÃÂ© de Tirajana, Gran Canaria, Spain, 29/11/16. https://doi.org/10.1007/978-3-319-48746-5_1

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals. / Espinilla, Macarena; Campaña, Sixto; Londoño, Jorge et al.
Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings. ed. / Pino Caballero-Gil; Carmelo R. García; Alexis Quesada-Arencibia; Mike Burmester. Springer Verlag, 2016. p. 3-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10069 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

T1 - Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals

AU - Espinilla, Macarena

AU - Campaña, Sixto

AU - Londoño, Jorge

AU - García-Fernández, Ángel Luis

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - This contribution presents a proposal for generating linguistic reports based on the study of biomedical signals of human patients. Although this topic is dealt in many previous works, there are challenges still open for the scientific community, such as the development of systems to produce reports and alerts using a human-friendly language. We present a brief review of some relevant previous works, as well as our proposal of a system based on fuzzy linguistic approach applied to the diagnosis of the preeclampsia disease that may affect pregnant women. Our system transforms numerical values of biomedical signals into linguistic values that are understandable information for the patients and the medical staff. The dataset used for testing the system contains real data from a study carried out by the Davinci UNAD Group (Colombia) on patients that suffer from preeclampsia.

AB - This contribution presents a proposal for generating linguistic reports based on the study of biomedical signals of human patients. Although this topic is dealt in many previous works, there are challenges still open for the scientific community, such as the development of systems to produce reports and alerts using a human-friendly language. We present a brief review of some relevant previous works, as well as our proposal of a system based on fuzzy linguistic approach applied to the diagnosis of the preeclampsia disease that may affect pregnant women. Our system transforms numerical values of biomedical signals into linguistic values that are understandable information for the patients and the medical staff. The dataset used for testing the system contains real data from a study carried out by the Davinci UNAD Group (Colombia) on patients that suffer from preeclampsia.

KW - Biomedical systems

KW - Fuzzy linguistic intelligent systems

KW - Fuzzy logic

KW - Preeclampsia

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U2 - 10.1007/978-3-319-48746-5_1

DO - 10.1007/978-3-319-48746-5_1

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:84998631591

SN - 9783319487458

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 14

BT - Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings

A2 - Caballero-Gil, Pino

A2 - García, Carmelo R.

A2 - Quesada-Arencibia, Alexis

A2 - Burmester, Mike

PB - Springer Verlag

T2 - 10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016

Y2 - 29 November 2016 through 2 December 2016

ER -

Espinilla M, Campaña S, Londoño J, García-Fernández ÁL. Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals. In Caballero-Gil P, García CR, Quesada-Arencibia A, Burmester M, editors, Ubiquitous Computing and Ambient Intelligence - 10th International Conference, UCAmI 2016, Proceedings. Springer Verlag. 2016. p. 3-14. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48746-5_1

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Types Minciencias

Access to Document

Fingerprint

Cite this