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Cancer Cell Prediction Using Machine Learning and Evolutionary Algorithms

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 890))

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Abstract

Cancer is a disease that affects the global population indistinctly. It is considered the second cause of death in the world. Early detection can reduce cancer mortality. However, instruments and equipment for diagnostic are often expensive and insufficient. This makes doctor’s work becomes complex and often, cancer patients do not receive a diagnosis until the disease is advanced. Machine Learning (ML) has shown to be useful for classification and prediction problems but it faces some limitations. Mainly, because it depends on the quality of the information. Over the years, different mechanisms have been developed to solve them, but there is not any mechanism that eliminates all ML difficulties. Because of that, this area remains open to new promising discoveries and ideas. Evolutionary Algorithms (EAs) have demonstrated to be useful for solving optimization problems in a heuristic way. This chapter presents a comparative study related to the prediction of cancer cells based on Machine Learning and Evolutionary Algorithms. As well as, a brief introduction of machine learning and evolutionary technics is presented. Also, the procedures’ implementation and performance are described. The results obtained show that the AEs can support a ML method, guiding the learning process.

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Author information

Authors and Affiliations

  1. Departamento de Electrónica, Universidad de Guadalajara, CUCEI, Guadalajara, Jalisco, Mexico

    Karla Avila-Cardenas & Marco Pérez-Cisneros

Authors
  1. Karla Avila-Cardenas
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  2. Marco Pérez-Cisneros
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Corresponding author

Correspondence to Karla Avila-Cardenas .

Editor information

Editors and Affiliations

  1. CUCEI, University of Guadalajara, Guadajalara, Mexico

    Diego Oliva

  2. CUCEI, University of Guadalajara, Guadajalara, Mexico

    Salvador Hinojosa

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Avila-Cardenas, K., Pérez-Cisneros, M. (2020). Cancer Cell Prediction Using Machine Learning and Evolutionary Algorithms. In: Oliva, D., Hinojosa, S. (eds) Applications of Hybrid Metaheuristic Algorithms for Image Processing. Studies in Computational Intelligence, vol 890. Springer, Cham. https://doi.org/10.1007/978-3-030-40977-7_16

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