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Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations

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Ubiquitous Computing and Ambient Intelligence (IWAAL 2016, AmIHEALTH 2016, UCAmI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10070))

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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.

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Authors and Affiliations

  1. Universidad Panamericana Campus México, Augusto Rodin 498, Col. Insurgentes-Mixcoac, Ciudad de México, Mexico

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

  2. Instituto de Oftalmología Conde de Valenciana, Chimalpopoca 14, Col.Obrera, Ciudad de México, Mexico

    Juan Carlos Zenteno

Authors
  1. Antonieta Martínez-Velasco
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  2. Juan Carlos Zenteno
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  3. Lourdes Martínez-Villaseñor
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  4. Luis Miralles-Pechúan
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  5. Andric Pérez-Ortiz
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  6. Francisco Javier Estrada-Mena
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Correspondence to Antonieta Martínez-Velasco .

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Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Carmelo R. García

  2. Departamento de Estadistica, Universidad La Laguna, La Laguna, Spain

    Pino Caballero-Gil

  3. Florida State University, Tallahassee, Florida, USA

    Mike Burmester

  4. University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Alexis Quesada-Arencibia

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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: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-48799-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48798-4

  • Online ISBN: 978-3-319-48799-1

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