Artificial intelligence in predicting chronic kidney disease
International Journal of Development Research
Artificial intelligence in predicting chronic kidney disease
Received 17th August, 2019; Received in revised form 26th September, 2019; Accepted 11th October, 2019; Published online 30th November, 2019
Copyright © 2019, Vanessa D. Martins et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The prediction of the future is becoming an increasingly easy and discussed task in the literature, especially in healthcare, with predictive analyzes of medical data using the machine learning, which evolved after the development of new informed technologies that originated multiple search fields. Much dedication is fulfilled periodically to deal with an explosion of medical data, to gain knowledge of it, to predict disease, and to anticipate healing. In order to extract useful knowledge and aid decision-making, researchers are increasingly applying technical innovations, including database analysis, predictive analysis, machine learning and learning algorithms. Thus, aimed to conduct a review of literature on the use of Artificial Intelligence in the prediction of Chronic Kidney Disease.