Use of Artificial Intelligence Techniques for the Analysis of theImpact of Polluting Environments on the Human Genetic DamageIndex
DOI:
https://doi.org/10.59471/raia201938Keywords:
DATA ANALYSIS, DATA MINING, KNOWLEDGE DISCOVERY, ARTIFICIAL INTELLIGENCE, BASAL COMET ID CONTAMINATIONAbstract
Artificial Intelligence (AI) techniques are now widespread in almost all disciplines. In the field of health, they are applied in operational stages of research: normally based on databases, models can be presented whose validation is reflected in new scientific knowledge. However, in specific investigations, researchers must collect their data. These investigations are expensive, so often, with preliminary results based on few data, it is defined whether the investigation is progressed or not.
This paper presents the tasks that allow us to obtain a model that allows us to describe and predict the impact on the genetic damage evaluated by the comet assay technique. This paper was based on the analysis of 54 cases. Multiple linear regression models were obtained prior to a variable selection process based on Shannon’s Theory of Information (1948). The obtained models were
evaluated with indicator R2. Although the evaluator obtained is not at the recommendable levels,
it is sufficient to present interesting indications
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Copyright (c) 2019 Jorge Kamlofsky, Vanesa Miana, Elio Prieto Gonzalez (Autor/a)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.