چکیده (انگلیسی):

The aim of this research paper is to study and discuss the
various classification algorithms applied on different kinds of medical
datasets and compares its performance. The classification algorithms
with maximum accuracies on various kinds of medical datasets are taken
for performance analysis. The result of the performance analysis shows
the most frequently used algorithms on particular medical dataset and best
classification algorithm to analyse the specific disease. This study gives
the details of different classification algorithms and feature selection
methodologies. The study also discusses about the data constraints such as
volume and dimensionality problems. This research paper also discusses
the new features of C5.0 classification algorithm over C4.5 and
performance of classification algorithm on high dimensional datasets.
This research paper summarizes various reviews and technical articles
which focus on the current research on Medical diagnosis.