Author :
Basma Boukenze
Affiliation : Computer, Networks, Mobility and Modeling
laboratory FST, Hassan 1st University, Settat
Country : Morocco
Category : Computer Science & Information Technology
Volume, Issue,
Month, Year
: 6, 5, November, 2016
Abstract
The
health sector has witnessed a great evolution following the development of new
computer technologies, and that pushed this area to produce more medical data,
which gave birth to multiple fields of research. Many efforts are done to cope
with the explosion of medical data on one hand, and to obtain useful knowledge
from it on the other hand. This prompted researchers to apply all the technical
innovations like big data analytics, predictive analytics, machine learning and
learning algorithms in order to extract useful knowledge and help in making
decisions. With the promises of predictive analytics in big data, and the use
of machine learning algorithms, predicting future is no longer a difficult
task, especially for medicine because predicting diseases and anticipating the
cure became possible. In this paper we will present an overview on the
evolution of big data in healthcare system, and we will apply a learning
algorithm on a set of medical data. The objective is to predict chronic kidney
diseases by using Decision Tree (C4.5) algorithm.
Keyword : big data, big data analytics, machine
learning, Healthcare, learning algorithm, C4.5
For More Details :
https://airccj.org/CSCP/vol6/csit65201.pdf
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