Author : Izdihar Al-muwaffaq
Affiliation : Department of Computer Engineering, Kadir Has
University
Country : Turkey
Category : Computer Science & Information Technology
Volume, Issue,
Month, Year
: 6, 5, November, 2016
ABSTRACT
Machine
learning algorithms are used to diagnosis for many diseases after very
important improvements of classification algorithms as well as having large
data sets and high performing computational units. All of these increased the
accuracy of these methods. The diagnosis of thyroid gland disorders is one of
the application for important classification problem. This study majorly
focuses on thyroid gland medical diseases caused by underactive or overactive
thyroid glands. The dataset used for the study was taken from UCI repository.
Classification of this thyroid disease dataset was a considerable task using
decision tree algorithm. The overall prediction accuracy is 100% for training
and in range between 98.7% and 99.8% for testing. In this study, we developed
the Machine Learning tool for Thyroid Disease Diagnosis (MLTDD), an Intelligent
thyroid gland disease prediction tool in Python, which can effectively help to
make the right decision, has been designed using PyDev, which is python IDE for
Eclipse.
Keyword
: Machine Learning, Thyroid diseases,
CRT decision tree algorithm, PyDev, Python IDE.
For
More Details :
https://airccj.org/CSCP/vol6/csit65207.pdf
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