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Characterising obstructive sleep apnea patients through complex networks

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  • Zanin, Massimiliano
  • Tuñas, Juan Manuel
  • Bailly, Sébastien
  • Pépin, Jean Louis
  • Hainaut, Pierre
  • Menasalvas, Ernestina

Abstract

Obstructive sleep apnea is a condition whose evolution is poorly understood and difficult to predict, in spite of its high prevalence and serious complications, due to the complexity of its initial symptoms and systemic consequences. In this contribution we discuss the characterisation of a group of patients suffering from this condition through the use of complex networks. Similarity relationships between different subjects are mapped into a network using the recently proposed convergence/divergence formalism. Topological features are then extracted from this structure, and used to feed a classification model forecasting the future evolution of patients after a standard treatment. Results indicate that the complex network approach is able to extract information over and above standard data mining models, thus yielding a new way for the characterisation, and hence for the understanding, of this complex condition.

Suggested Citation

  • Zanin, Massimiliano & Tuñas, Juan Manuel & Bailly, Sébastien & Pépin, Jean Louis & Hainaut, Pierre & Menasalvas, Ernestina, 2019. "Characterising obstructive sleep apnea patients through complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 196-202.
    • Handle: RePEc:eee:chsofr:v:119:y:2019:i:c:p:196-202
    DOI: 10.1016/j.chaos.2018.12.031
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    References listed on IDEAS

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    1. Nicholas J. Schork, 2015. "Personalized medicine: Time for one-person trials," Nature, Nature, vol. 520(7549), pages 609-611, April.
    2. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
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    1. Aguirre, J. & Almendral, J.A. & Buldú, J.M. & Criado, R. & Gutiérrez, R. & Leyva, I. & Romance, M. & Sendiña-Nadal, I., 2019. "Experimental complexity in physical, social and biological systems," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 200-202.
    2. Huang, Yubo & Dong, Hongli & Zhang, Weidong & Lu, Junguo, 2019. "Stability analysis of nonlinear oscillator networks based on the mechanism of cascading failures," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 5-15.

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