A top-down outlook on artificial intelligence applied to healthcare systems and possible advantage of an unsupervised learning tool to medical issues Online publication date: Fri, 25-Jun-2021
by V. González-Prida; J. Zamora
International Journal of Data Science (IJDS), Vol. 5, No. 4, 2020
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.
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