Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
A recent study shows that almost 30% of total global deaths are caused by
heart disease. These days precise diagnosis related to heart disease is very difficult. The
doctor advises patients to take various tests for diagnosis, which is a very costly and
time-consuming process as medical databases are large and cannot be processed
quickly. A new approach has been proposed to predict heart disease from historical
data sets. In this chapter, heart disease possibilities in patients are predicted with the
help of neural networks on distributed computing. Feature selection was applied to the
dataset to get better results and to increase the performance. Feature selection reduces
the number of attributes from the dataset and only provides the necessary attributes,
which directly reduces the number of tests required for the diagnosis.
Keywords:
Artificial Neural Networks (ANN), Distributed Computing, Hadoop, Hadoop Distributed File System (HDFS).
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Authors:Bentham Science Books