Title: A top-down outlook on artificial intelligence applied to healthcare systems and possible advantage of an unsupervised learning tool to medical issues

Authors: V. González-Prida; J. Zamora

Addresses: University of Sevilla & UNED, Spain Camino de los Descubrimientos S/N, 41092, Seville, Spain ' UNED, Spain Paseo de Senda del Rey 7, 28040 Madrid, Spain

Abstract: The objective of this paper is to discuss the implementation of AI in a sector like healthcare, providing a methodology based on machine learning for the pattern recognition in the behaviour of a specific outbreak. With this purpose, this paper starts defining a conceptual map on artificial intelligence. Afterwards, the document deepens in machine learning concepts linking them with the usual learning processes and their corresponding applications, providing a view as well on Artificial Neural Network, in order to observe advantages of this useful tool. Subsequently, possible applications for medical issues are depicted. With that, a case study is described proposing an unsupervised learning process for the pattern recognition applying the Jensen-Shannon Divergence. This example is based on the behaviour of the reproductive number of a specific outbreak among different areas. Some conclusions are commented at the end, indicating as well possible future research lines on this field.

Keywords: artificial intelligence; behaviour; healthcare system; Jensen-Shannon divergence; machine learning; medical issues; neural network; outbreak; pattern; unsupervised learning.

DOI: 10.1504/IJDS.2020.115861

International Journal of Data Science, 2020 Vol.5 No.4, pp.276 - 289

Received: 06 May 2020
Accepted: 08 Sep 2020
Published online: 25 Jun 2021 *

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