Machine learning method to establish the connection between age related macular degeneration and some genetic variations

Antonieta Martínez-Velasco; Juan Carlos Zenteno; Lourdes Martínez-Villaseñor; Luis Miralles-Pechúan; Andric Pérez-Ortiz; Francisco Javier Estrada-Mena

doi:10.1007/978-3-319-48799-1_4

Machine learning method to establish the connection between age related macular degeneration and some genetic variations

Antonieta Martínez-Velasco, Juan Carlos Zenteno, Lourdes Martínez-Villaseñor, Luis Miralles-Pechúan, Andric Pérez-Ortiz, Francisco Javier Estrada-Mena

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

Abstract

Medicine research based in machine learning methods allows the improvement of diagnosis in complex diseases. Age related Macular Degeneration (AMD) is one of them. AMD is the leading cause of blindness in the world. It causes the 8.7% of blind people. A set of case and controls study could be developed by machine-learning methods to find the relation between Single Nucleotide Polymorphisms (SNPs) SNP_A, SNP_B, SNP_C and AMD. In this paper we present a machine-learning based analysis to determine the relation of three single nucleotide SNPs and the AMD disease. The SNPs SNP_B, SNP_C remained in the top four relevant features with ophthalmologic surgeries and bilateral cataract. We aim also to determine the best set of features for the classification process.

Original language	English
Title of host publication	Ubiquitous Computing and Ambient Intelligence
Subtitle of host publication	10th International Conference, UCAmI 2016, Proceedings
Editors	Carmelo R. García, Alexis Quesada-Arencibia, Mike Burmester, Pino Caballero-Gil
Publisher	Springer Verlag
Pages	28-39
Number of pages	12
ISBN (Print)	9783319487984
DOIs	https://doi.org/10.1007/978-3-319-48799-1_4
Publication status	Published - 2016
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10070 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Machine learning
Macular degeneration
Polymorphism relation
Single nucleotide polymorphisms

Access to Document

10.1007/978-3-319-48799-1_4

Cite this

Martínez-Velasco, A., Zenteno, J. C., Martínez-Villaseñor, L., Miralles-Pechúan, L., Pérez-Ortiz, A., & Estrada-Mena, F. J. (2016). Machine learning method to establish the connection between age related macular degeneration and some genetic variations. In C. R. García, A. Quesada-Arencibia, M. Burmester, & P. Caballero-Gil (Eds.), Ubiquitous Computing and Ambient Intelligence : 10th International Conference, UCAmI 2016, Proceedings (pp. 28-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10070 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48799-1_4

Martínez-Velasco, Antonieta ; Zenteno, Juan Carlos ; Martínez-Villaseñor, Lourdes et al. / Machine learning method to establish the connection between age related macular degeneration and some genetic variations. Ubiquitous Computing and Ambient Intelligence : 10th International Conference, UCAmI 2016, Proceedings. editor / Carmelo R. García ; Alexis Quesada-Arencibia ; Mike Burmester ; Pino Caballero-Gil. Springer Verlag, 2016. pp. 28-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Medicine research based in machine learning methods allows the improvement of diagnosis in complex diseases. Age related Macular Degeneration (AMD) is one of them. AMD is the leading cause of blindness in the world. It causes the 8.7\% of blind people. A set of case and controls study could be developed by machine-learning methods to find the relation between Single Nucleotide Polymorphisms (SNPs) SNP\_A, SNP\_B, SNP\_C and AMD. In this paper we present a machine-learning based analysis to determine the relation of three single nucleotide SNPs and the AMD disease. The SNPs SNP\_B, SNP\_C remained in the top four relevant features with ophthalmologic surgeries and bilateral cataract. We aim also to determine the best set of features for the classification process.",

keywords = "Machine learning, Macular degeneration, Polymorphism relation, Single nucleotide polymorphisms",

author = "Antonieta Mart{\'i}nez-Velasco and Zenteno, \{Juan Carlos\} and Lourdes Mart{\'i}nez-Villase{\~n}or and Luis Miralles-Pech{\'u}an and Andric P{\'e}rez-Ortiz and Estrada-Mena, \{Francisco Javier\}",

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doi = "10.1007/978-3-319-48799-1\_4",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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

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Martínez-Velasco, A, Zenteno, JC, Martínez-Villaseñor, L, Miralles-Pechúan, L, Pérez-Ortiz, A & Estrada-Mena, FJ 2016, Machine learning method to establish the connection between age related macular degeneration and some genetic variations. in CR García, A Quesada-Arencibia, M Burmester & P Caballero-Gil (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. 10070 LNCS, Springer Verlag, pp. 28-39. https://doi.org/10.1007/978-3-319-48799-1_4

Machine learning method to establish the connection between age related macular degeneration and some genetic variations. / Martínez-Velasco, Antonieta; Zenteno, Juan Carlos; Martínez-Villaseñor, Lourdes et al.
Ubiquitous Computing and Ambient Intelligence : 10th International Conference, UCAmI 2016, Proceedings. ed. / Carmelo R. García; Alexis Quesada-Arencibia; Mike Burmester; Pino Caballero-Gil. Springer Verlag, 2016. p. 28-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10070 LNCS).

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

TY - GEN

T1 - Machine learning method to establish the connection between age related macular degeneration and some genetic variations

AU - Martínez-Velasco, Antonieta

AU - Zenteno, Juan Carlos

AU - Martínez-Villaseñor, Lourdes

AU - Miralles-Pechúan, Luis

AU - Pérez-Ortiz, Andric

AU - Estrada-Mena, Francisco Javier

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

PY - 2016

Y1 - 2016

N2 - Medicine research based in machine learning methods allows the improvement of diagnosis in complex diseases. Age related Macular Degeneration (AMD) is one of them. AMD is the leading cause of blindness in the world. It causes the 8.7% of blind people. A set of case and controls study could be developed by machine-learning methods to find the relation between Single Nucleotide Polymorphisms (SNPs) SNP_A, SNP_B, SNP_C and AMD. In this paper we present a machine-learning based analysis to determine the relation of three single nucleotide SNPs and the AMD disease. The SNPs SNP_B, SNP_C remained in the top four relevant features with ophthalmologic surgeries and bilateral cataract. We aim also to determine the best set of features for the classification process.

AB - Medicine research based in machine learning methods allows the improvement of diagnosis in complex diseases. Age related Macular Degeneration (AMD) is one of them. AMD is the leading cause of blindness in the world. It causes the 8.7% of blind people. A set of case and controls study could be developed by machine-learning methods to find the relation between Single Nucleotide Polymorphisms (SNPs) SNP_A, SNP_B, SNP_C and AMD. In this paper we present a machine-learning based analysis to determine the relation of three single nucleotide SNPs and the AMD disease. The SNPs SNP_B, SNP_C remained in the top four relevant features with ophthalmologic surgeries and bilateral cataract. We aim also to determine the best set of features for the classification process.

KW - Machine learning

KW - Macular degeneration

KW - Polymorphism relation

KW - Single nucleotide polymorphisms

UR - https://www.scopus.com/pages/publications/85009789286

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DO - 10.1007/978-3-319-48799-1_4

M3 - Conference contribution

AN - SCOPUS:85009789286

SN - 9783319487984

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

SP - 28

EP - 39

BT - Ubiquitous Computing and Ambient Intelligence

A2 - García, Carmelo R.

A2 - Quesada-Arencibia, Alexis

A2 - Burmester, Mike

A2 - Caballero-Gil, Pino

PB - Springer Verlag

ER -

Martínez-Velasco A, Zenteno JC, Martínez-Villaseñor L, Miralles-Pechúan L, Pérez-Ortiz A, Estrada-Mena FJ. Machine learning method to establish the connection between age related macular degeneration and some genetic variations. In García CR, Quesada-Arencibia A, Burmester M, Caballero-Gil P, editors, Ubiquitous Computing and Ambient Intelligence : 10th International Conference, UCAmI 2016, Proceedings. Springer Verlag. 2016. p. 28-39. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48799-1_4

Machine learning method to establish the connection between age related macular degeneration and some genetic variations

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Keywords

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