Discovering interesting trends in real medical data: A study in diabetic retinopathy

Vasiliki Somaraki; Mauro Vallati; Thomas Leo McCluskey

doi:10.1007/978-3-319-23485-4_15

Discovering interesting trends in real medical data: A study in diabetic retinopathy

Vasiliki Somaraki, Mauro Vallati, Thomas Leo McCluskey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this work we present SOMA: a Trend Mining framework, based on longitudinal data analysis, that is able to measure the interestingness of the produced trends in large noisy medical databases. Medical longitudinal data typically plots the progress of some medical condition, thus implicitly contains a large number of trends. The approach has been evaluated on a large collection of medical records, forming part of the diabetic retinopathy screening programme at the Royal Liverpool University Hospital, UK.

Original language	English
Title of host publication	Progress in Artificial Intelligence
Subtitle of host publication	17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings
Editors	Francisco Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso
Publisher	Springer, Cham
Pages	134-140
Number of pages	7
Volume	9273
ISBN (Electronic)	9783319234854
ISBN (Print)	9783319234847
DOIs	https://doi.org/10.1007/978-3-319-23485-4_15
Publication status	Published - 24 Aug 2015
Event	17th Portuguese Conference on Artificial Intelligence - Coimbra, Portugal Duration: 8 Sep 2015 → 11 Sep 2015 Conference number: 17

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9273
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th Portuguese Conference on Artificial Intelligence
Abbreviated title	EPIA 2015
Country/Territory	Portugal
City	Coimbra
Period	8/09/15 → 11/09/15

UN SDGs

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

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10.1007/978-3-319-23485-4_15Licence: Unspecified

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Somaraki, V., Vallati, M., & McCluskey, T. L. (2015). Discovering interesting trends in real medical data: A study in diabetic retinopathy. In F. Pereira, P. Machado, E. Costa, & A. Cardoso (Eds.), Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings (Vol. 9273, pp. 134-140). (Lecture Notes in Computer Science; Vol. 9273). Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_15

Somaraki, Vasiliki ; Vallati, Mauro ; McCluskey, Thomas Leo. / Discovering interesting trends in real medical data : A study in diabetic retinopathy. Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings. editor / Francisco Pereira ; Penousal Machado ; Ernesto Costa ; Amílcar Cardoso. Vol. 9273 Springer, Cham, 2015. pp. 134-140 (Lecture Notes in Computer Science).

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Somaraki, V, Vallati, M & McCluskey, TL 2015, Discovering interesting trends in real medical data: A study in diabetic retinopathy. in F Pereira, P Machado, E Costa & A Cardoso (eds), Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings. vol. 9273, Lecture Notes in Computer Science, vol. 9273, Springer, Cham, pp. 134-140, 17th Portuguese Conference on Artificial Intelligence, Coimbra, Portugal, 8/09/15. https://doi.org/10.1007/978-3-319-23485-4_15

Discovering interesting trends in real medical data : A study in diabetic retinopathy. / Somaraki, Vasiliki; Vallati, Mauro ; McCluskey, Thomas Leo.

Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings. ed. / Francisco Pereira; Penousal Machado; Ernesto Costa; Amílcar Cardoso. Vol. 9273 Springer, Cham, 2015. p. 134-140 (Lecture Notes in Computer Science; Vol. 9273).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Somaraki V, Vallati M , McCluskey TL. Discovering interesting trends in real medical data: A study in diabetic retinopathy. In Pereira F, Machado P, Costa E, Cardoso A, editors, Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings. Vol. 9273. Springer, Cham. 2015. p. 134-140. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-23485-4_15

Discovering interesting trends in real medical data: A study in diabetic retinopathy

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